Publikationen des Instituts für Informatik und Wirtschaftsinformatik

2022

Alturki, S., Hulpus, I. und Stuckenschmidt, H. (2022). Predicting academic outcomes: A survey from 2007 till 2018. Technology, Knowledge and Learning, 27, 275-307.
Knorr, L. und Portisch, J. (2022). Fine-TOM matcher results for OAEI 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 144-151). CEUR Workshop Proceedings, RWTH: Aachen.
Kossack, D., Borg, N., Knorr, L. und Portisch, J. (2022). TOM matcher results for OAEI 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 193-198). CEUR Workshop Proceedings, RWTH: Aachen.
Litschko, R., Vulić, I., Ponzetto, S. P. und Glavaš, G. (2022). On cross-lingual retrieval with multilingual text encoders. Information Retrieval Journal, 1-35.
Marton, S., Lüdtke, S. und Bartelt, C. (2022). Explanations for neural networks by neural networks. Applied Sciences, 12, 1-14.
Portisch, J., Heist, N. und Paulheim, H. (2022). Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction – two sides of the same coin? Semantic Web, 1-24.
Portisch, J. und Paulheim, H. (2022). ALOD2vec matcher results for OAEI 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 117-123). CEUR Workshop Proceedings, RWTH: Aachen.
Portisch, J. und Paulheim, H. (2022). Wiktionary matcher results for OAEI 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 199-206). CEUR Workshop Proceedings, RWTH: Aachen.
Sola, D., der Aa, H., Meilicke, C. und Stuckenschmidt, H. (2022). Exploiting Label Semantics For Rule-Based Activity Recommendation In Business Process Modeling. Information Systems : IS, 108.
Sola, D., Meilicke, C., der Aa, H. und Stuckenschmidt, H. (2022). On the Use of Knowledge Graph Completion Methods for Activity Recommendation in Business Process Modeling. In , Business Process Management Workshops : BPM 2021 international workshops, Rome, Italy, September 6-10, 2021, revised selected papers (S. 5-17). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin ; Heidelberg ; New York, NY.

2021

Verborgh, R., Hose, K., Paulheim, H., Champin, P.-A., Maleshkova, M., Corcho, O., Ristoski, P. und Alam, M. (Hrsg.) (2021). The semantic web – 18th international conference, ESWC 2021, virtual event, June 6-10, 2021, proceedings. Cham: Springer International Publishing.
Abd Nikooie Pour, M., Algergawy, A., Amardeilh, F., Amini, R., Fallatah, O., Faria, D., Fundulaki, I., Harrow, I., Hertling, S., Hitzler, P., Huschka, M., Ibanescu, L., Jiménez-Ruiz, E., Karam, N., Laadhar, A., Lambrix, P., Li, H., Li, Y., Michel, F., Nasr, E., Paulheim, H., Pesquita, C., Portisch, J., Roussey, C., Saveta, T., Shvaiko, P., Splendiani, A., Trojahn, C., Vataščinová, J., Yaman, B., Zamazal, O. und Zhou, L. (2021). Results of the Ontology Alignment Evaluation Initiative 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 62-108). CEUR Workshop Proceedings, RWTH Aachen: Aachen.
Alhersh, T. (2021). From motion to human activity recognition. Dissertation, . Mannheim.
Alhersh, T., Stuckenschmidt, H., Rehman, A. U. und Brahim Belhaouari, S. (2021). Learning human activity from visual data using deep learning. IEEE Access, 9, 106245-106253.
Alturki, S. und Alturki, N. (2021). Using educational data mining to predict students' academic performance for applying early interventions. Journal of Information Technology Education : JITE. Innovations in Practice : IIP, 20, 121-137.
Alturki, S. und Stuckenschmidt, H. (2021). Assessing students' self-assessment ability in an interdisciplinary domain. Journal of Applied Research in Higher Education : JARHE.
Armknecht, F., Bohli, J.-M., Karame, G. O. und Li, W. (2021). Outsourcing proofs of retrievability. IEEE Transactions on Cloud Computing, 9, 286-301.
Armknecht, F., Bohli, J.-M., Karame, G. O. und Li, W. (2021). Regulating storage overhead in existing PoW-based blockchains. In , SACMAT '21 : proceedings of the 26th ACM Symposium on Access Control Models and Technologies : virtual event, Spain, June 16-18, 2021 (S. 131-142). , Association for Computing Machinery: New York, NY.
Atkinson, C. und Tunjic, C. (2021). A deep view-point language and framework for projective modeling. Information Systems : IS, 101.
Atkinson, C., Tunjic, C. und Lange, A. (2021). Controlling view editability in projection-based modeling environments. In , 2021 IEEE 25th International Enterprise Distributed Object Computing Conference (EDOC) : 25−29 October 2021, Gold Coast, Australia : proceedings (S. 152-161). , IEEE: Piscataway, NJ.
Betz, P., Niepert, M., Minervini, P. und Stuckenschmidt, H. (2021). Backpropagating through Markov Logic Networks. In , Proceedings of 15th International Workshop on Neural-Symbolic Learning and Reasoning (S. ). CEUR Workshop Proceedings, RWTH: Aachen.
Biswas, R., Sofronova, R., Alam, M., Heist, N., Paulheim, H. und Sack, H. (2021). Do judge an entity by its name! Entity typing using language models. In , The Semantic Web: ESWC 2021 Satellite Events : virtual event, June 6–10, 2021, revised selected papers (S. 65-70). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Brendle, M., Weber, N., Valyiev, M., May, N., Schulze, R., Böhm, A., Moerkotte, G. und Grossniklaus, M. (2021). Precise, compact, and fast data access counters for automated physical database design. In , Datenbanksysteme für Business, Technologie und Web (BTW 2021) : 13.-17. September 2021 in Dresden, Deutschland (S. 79-100). GI-Edition : Lecture Notes in Informatics. Proceedings, Ges. für Informatik: Bonn.
Brinkmann, A. und Bizer, C. (2021). Improving hierarchical product classification using domain-specific language modelling. Bulletin of the Technical Committee on Data Engineering / IEEE Computer Society, 44, 14-25.
Brockmeier, M., Liu, Y., Pateer, S., Hertling, S. und Paulheim, H. (2021). On-demand and lightweight knowledge graph generation – a demonstration with DBpedia. In , Joint proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021, Amsterdam and Online, September 6-9, 2021 (S. 1-5). CEUR Workshop Proceedings, RWTH: Aachen.
Bucher, T.-C., Jiang, X., Meyer, O., Waitz, S., Hertling, S. und Paulheim, H. (2021). Scikit-learn pipelines meet knowledge graphs. In , The semantic web: ESWC 2021 Satellite Events : virtual event, June 6-10, 2021, revisted selected papers (S. 9-14). Lecture Notes in Computer Science, Springer: Cham.
Burzlaff, F. (2021). Knowledge-driven architecture composition. Dissertation, . Mannheim.
Bácsi, S., Lange, A., Kühne, T., Mezei, G. und Atkinson, C. (2021). Melanee and DMLA – A contribution to the MULTI 2021 collaborative comparison challenge. In , 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) : proceedings (S. 556-565). , IEEE: Piscataway, NJ.
Bühler, B. und Paulheim, H. (2021). Web table classification based on visual features. In , Web Engineering : 21st International Conference, ICWE 2021, Biarritz, France, May 18–21, 2021, Proceedings (S. 185-200). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Civitarese, G., Sztyler, T., Riboni, D., Bettini, C. und Stuckenschmidt, H. (2021). POLARIS: Probabilistic and ontological activity recognition in smart-homes. IEEE Transactions on Knowledge and Data Engineering : TKDE, 33, 209-223.
Diete, A. (2021). Towards multimodal activity recognition in complex scenarios. Dissertation, . Mannheim.
Freiknecht, J. (2021). Procedural content generation for games. Dissertation, . Mannheim.
Frendo, O. (2021). Improving smart charging for electric vehicle fleets by integrating battery and prediction models. Dissertation, . Mannheim.
Glavaš, G., Ganesh, A. und Somasundaran, S. (2021). Training and domain adaptation for supervised text segmentation. In , Innovative use of NLP for building educational applications, proceedings of the 16th Workshop [BEA 2021] : April 20, 2021, co-located with EACL 2021 (S. 110-116). , Association for Computational Linguistics: Stroudsburg, PA.
Glavaš, G. und Vulić, I. (2021). Is supervised syntactic parsing beneficial for language understanding tasks? An empirical investigation. In , The 16th Conference of the European Chapter of the Association for Computational Linguistics, proceedings of the conference : April 19 – 23, 2021 (S. 3090-3104). , Association for Computational Linguistics: Stroudsburg, PA.
Heist, N., Hertling, S., Ringler, D. und Paulheim, H. (2021). Wissensgraphen im Web : Überblick und Vergleich. In Semantische Datenintelligenz im Einsatz (S. 127-151). Wiesbaden: Springer Vieweg.
Heist, N. und Paulheim, H. (2021). Information extraction from co-occurring similar entities. In , The Web Conference 2021 : Proceedings of the World Wide Web Conference WWW 2021 (S. 3999-4009). , Association for Computing Machinery: New York, NY [u.a.].
Helmstetter, S. und Paulheim, H. (2021). Collecting a large scale dataset for classifying fake news tweets using weak supervision. Future Internet, 13, 114.
Hertling, C., Krause, M. und Schmidt, M. U. (2021). Innovation, Interdisziplinarität und Internationalität: Die Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik. In Eine Universität für die Gesellschaft : 75 Jahre Neubegründung Wirtschaftshochschule und Universität Mannheim (S. 129-132). Ubstadt-Weiher: verlag regionalkultur.
Hertling, S. und Paulheim, H. (2021). ATBox results for OAEI 2021. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 137-143). CEUR Workshop Proceedings, RWTH Aachen: Aachen.
Hertling, S. und Paulheim, H. (2021). Order matters: Matching multiple knowledge graphs. In , K-CAP '21: Proceedings of the 11th on Knowledge Capture Conference (S. 113-120). , Association for Computing Machinery: New York, NY.
Hertling, S., Portisch, J. und Paulheim, H. (2021). Matching with transformers in MELT. In , OM 2021, Ontology Matching 2021 : Proceedings of the 16th International Workshop on Ontology Matching, co-located with the 20th International Semantic Web Conference (ISWC 2021), virtual conference, October 25, 2021 (S. 13-24). CEUR Workshop Proceedings, RWTH Aachen: Aachen.
Hertzschuch, A., Moerkotte, G., Lehner, W., May, N., Wolf, F. und Fricke, L. (2021). Small selectivities matter: Lifting the burden of empty samples. In , Proceedings of the 2021 International Conference on Management of Data : SIGMOD/PODS '21 (S. 697-709). , Association for Computing Machinery: New York, NY.
Hoffmann, L., Bartelt, C. und Stuckenschmidt, H. (2021). Knowledge injection via ML-based initialization of neural networks. In , Proceedings of the CIKM 2021 Workshops (CIKMW 2021) co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021) : Gold Coast, Queensland, Australia, November 1-5,2021 (S. 1-6). CEUR Workshop Proceedings, RWTH: Aachen.
Huber, J. und Stuckenschmidt, H. (2021). Intraday shelf replenishment decision support for perishable goods. International Journal of Production Economics, 231, 1-14.
Iana, A. und Paulheim, H. (2021). GraphConfRec: A Graph Neural Network-Based Conference Recommender System. In , 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL), Sept. 27 2021 to Sept. 30 2021, Champaign, IL, USA : conference proceedings (S. 90-99). , IEEE: New York, NY.
Lauscher, A. (2021). Language representations for computational argumentation. Dissertation, . Mannheim.
Litschko, R., Vulić, I., Ponzetto, S. P. und Glavaš, G. (2021). Evaluating multilingual text encoders for unsupervised cross-lingual retrieval. In , Advances in information retrieval : 43rd European Conference on IR Research, ECIR 2021, virtual event, March 28 – April 1, 2021, proceedings, part I (S. 342-358). Lecture Notes in Computer Science, Springer: Cham.
Meilicke, C., Betz, P. und Stuckenschmidt, H. (2021). Why a naive way to combine symbolic and latent knowledge base completion works surprisingly well. In , 3rd Conference on Automated Knowledge Base Construction (S. 1-26). , OpenReview.net: Online.
Müller, M., Flachs, D. und Moerkotte, G. (2021). Memory-efficient key/Foreign-key join size estimation via multiplicity and intersection size. In , 2021 IEEE 37th International Conference on Data Engineering (ICDE) (S. 984-995). , IEEE: Chania.
Nolle, A. (2021). Federated knowledge base debugging in DL-Lite A. Dissertation, . Mannheim.
Nolte, F., Wilken, N. und Bartelt, C. (2021). Rendezvous delivery: Utilizing autonomous electric vehicles to improve the efficiency of last mile parcel delivery in urban areas. In , 2021 IEEE PerCom Workshops : PerAwareCity 2021, 6th IEEE Workshop on Pervasive Context-Aware Smart Cities and Intelligent Transportation Systems, March 22-26, 2021 in Kassel, Germany (S. 148-153). , IEEE Computer Society: Piscataway, NJ.
Peeters, R. und Bizer, C. (2021). Dual-objective fine-tuning of BERT for entity matching. In , 47th International Conference on Very Large Data Bases (VLDB 2021) : Copenhagen, Denmark, August 16-20, 2021 (S. 1913-1921). Proceedings of the VLDB Endowment, Association of Computing Machinery: New York, NY.
Pernpeintner, M., Bartelt, C. und Stuckenschmidt, H. (2021). Governing black-box agents in competitive multi-agent systems. In , Multi-Agent Systems : 18th European Conference, EUMAS 2021, virtual event, June 28–29, 2021, revised selected papers (S. 19-36). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Plotz, S., Armknecht, F. und Bunse, C. (2021). How to take over drones. In , Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security (S. 526-536). , Association for Computing Machinery: New York, NY.
Portisch, J., Hladik, M. und Paulheim, H. (2021). Background knowledge in schema matching: Strategy vs. data. In , The Semantic Web – ISWC 2021 : 20th International Semantic Web Conference, ISWC 2021, virtual event, October 24–28, 2021, proceedings (S. 287-303). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Portisch, J., Hladik, M. und Paulheim, H. (2021). FinMatcher at FinSim-2: hypernym detection in the financial services domain using knowledge graphs. In , Companion Proceedings of the Web Conference 2021 (S. 293-297). , Association for Computing Machinery: New York, NY, USA.
Portisch, J. und Paulheim, H. (2021). Putting RDF2vec in order. In , International Semantic Web Conference (ISWC) 2021: posters, demos and industry tracks: proceedings (S. 1-5). CEUR Workshop Proceedings, RWTH: Aachen.
Primpeli, A. und Bizer, C. (2021). Graph-boosted active learning for multi-source entity resolution. In , The Semantic Web – ISWC 2021 : 20th international semantic web conference, ISWC 2021, virtual event, October 24–28, 2021, proceedings (S. 182-199). Lecture Notes in Computer Science, Springer: Berlin ; Heidelberg ; New York, NY.
Rovera, M., Nanni, F. und Ponzetto, S. P. (2021). Event-based access to historical Italian war memoirs. ACM Journal on Computing and Cultural Heritage : JOCCH, 14, Article 2.
Schlechtinger, M., Kosack, D., Paulheim, H. und Fetzer, T. (2021). How algorithms work and play together. Concurrences : Revue des Droits de la Concurrence, 2021, 19-23.
Schlechtinger, M., Kosack, D., Paulheim, H. und Fetzer, T. (2021). Winning at any cost – infringing the cartel prohibition with reinforcement learning. In , Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good : The PAAMS collection, 19th international conference, PAAMS 2021, Salamanca, Spain, October 6-8, 2021, proceedings (S. 255-266). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Schäfer, B., der Aa, H., Leopold, H. und Stuckenschmidt, H. (2021). Sketch2BPMN: Automatic recognition of hand-drawn BPMN models. In , Advanced Information Systems Engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, proceedings (S. 344-360). Lecture Notes in Computer Science, Springer: Cham.
Schäfer, B., Keuper, M. und Stuckenschmidt, H. (2021). Arrow R-CNN for handwritten diagram recognition. International Journal on Document Analysis and Recognition : IJDAR, 24, 3-17.
Schäfer, B. und Stuckenschmidt, H. (2021). DiagramNet: hand-drawn diagram recognition using visual arrow-relation detection. In , Document Analysis and Recognition – ICDAR 2021 : 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I (S. 614-630). Lecture Notes in Computer Science, Springer: Berlin, Heidelberg.
Schüller, L., Wilhelm, F., Kreiling, N. und Glavaš, G. (2021). Windowing models for abstractive summarization of long texts. In , Advances in information retrieval : 43rd European Conference on IR Research, ECIR 2021, virtual event, March 28 – April 1, 2021, proceedings, part II (S. 384-392). Lecture Notes in Computer Science, Springer: Cham.
Sola, D. (2021). Towards a rule-based recommendation approach for business process modeling. In , Service-oriented computing – ICSOC 2020 Workshops : AIOps, CFTIC, STRAPS, AI-PA, AI-IOTS, and Satellite Events, Dubai, United Arab Emirates, December 14-17, 2020 : proceedings (S. 25-31). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Sola, D., Meilicke, C., der Aa, H. und Stuckenschmidt, H. (2021). A rule-based recommendation approach for business process modeling. In , Advanced information systems engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, proceedings (S. 328-343). Lecture Notes in Computer Science, Springer: Cham.
Steenwinckel, B., Vandewiele, G., Bonte, P., Weyns, M., Paulheim, H., Ristoski, P., De Turck, F. und Ongenae, F. (2021). Walk extraction strategies for node embeddings with RDF2Vec in knowledge graphs. In , Database and expert systems applications – DEXA 2021 Workshops : BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, virtual event, September 27–30, 2021, proceedings (S. 70-80). Communications in Computer and Information Science, Springer International Publishing: Cham.
Sánchez-Junquera, J., Chulvi, B., Rosso, P. und Ponzetto, S. P. (2021). How do you speak about immigrants? Taxonomy and stereoImmigrants dataset for identifying stereotypes about immigrants. Applied Sciences, 11, 1-27.
Voit, M. M. und Paulheim, H. (2021). Bias in knowledge graphs – An empirical study with movie recommendation and different language editions of DBpedia. In , 3rd Conference on Language, Data and Knowledge (LDK 2021) : September 1–3, 2021, Zaragoza, Spain (S. 14:1-14:13). Open Access Series in Informatics : OASIcs, Leibniz-Zentrum für Informatik: Wadern.
Weller, T. und Acosta, M. (2021). Predicting instance type assertions in knowledge graphs using stochastic neural networks. In , CIKM '21 : proceedings of the 30th ACM International Conference on Information & Knowledge Management (S. 2111-2118). , Association for Computing Machinery: New York, NY.
Weller, T. und Paulheim, H. (2021). Evidential relational-graph convolutional networks for entity classification in knowledge graphs. In , CIKM '21 : Proceedings of the 30th ACM International Conference on Information & Knowledge Management (S. 3533-3537). , Association for Computing Machinery: New York, NY.
Wilken, N. und Stuckenschmidt, H. (2021). Combining symbolic and statistical knowledge for goal recognition in smart home environments. In , 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (S. 26-31). , IEEE Computer Society: Piscataway, NJ.
Wilken, N., Stuckenschmidt, H. und Bartelt, C. (2021). Combining symbolic and data-driven methods for goal recognition. In , 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (S. 428-429). , IEEE Computer Society: Piscataway, NJ.
Yamamoto, S., Lauscher, A., Ponzetto, S. P., Glavaš, G. und Morishima, S. (2021). Self-supervised learning for visual summary identification in scientific publications. In , BIR 2021, Proceedings of the 11th International Workshop on Bibliometric-Enhanced Information Retrieval, co-located with 43rd European Conference on Information Retrieval (ECIR 2021), Lucca, Italy (online only), April 1st, 2021 (S. 5-19). CEUR Workshop Proceedings, RWTH: Aachen.

2020

Armknecht, F., Verbauwhede, I., Volkamer, M. und Yung, M. (Hrsg.) (2020). Biggest failures in security : Report from Dagstuhl Seminar 19451. Wadern: Schloss Dagstuhl.
Harth, A., Kirrane, S., Ngonga Ngomo, A.-C., Paulheim, H., Rula, A., Gentile, A. L., Haase, P. und Cochez, M. (Hrsg.) (2020). The Semantic Web : 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings. Cham: Springer International Publishing.
Abd Nikooie Pour, M., Algergawy, A., Amini, R., Faria, D., Fundulaki, I., Harrow, I., Hertling, S., Jiménez-Ruiz, E., Jonquet, C., Karam, N., Khiat, A., Laadhar, A., Lambrix, P., Li, H., Li, Y., Hitzler, P., Paulheim, H., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Yaman, B., Zamazal, O. und Zhou, L. (2020). Results of the Ontology Alignment Evaluation Initiative 2020. In , OM 2020Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) Virtual conference (originally planned to be in Athens, Greece), November 2, 2020 (S. 92-138). CEUR Workshop Proceedings, RWTH: Aachen.
Al Taweel, A. und Paulheim, H. (2020). Towards exploiting implicit human feedback for improving RDF2vec embeddings. In , DL4KG2020: Deep Learning for Knowledge Graphs : proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020), co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020) : Heraklion, Greece, June 02, 2020 – moved online (S. 1-10). CEUR Workshop Proceedings, RWTH: Aachen.
Alam, M., Groth, P., Hitzler, P., Paulheim, H., Sack, H. und Tresp, V. (2020). CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications. In , CIKM '20 : Proceedings of the 29th ACM International Conference on Information & Knowledge Management, virtual event Ireland, October 19 – 23, 2020 (S. 3523-3524). , Association for Computing Machinery: New York, NY.
Alhersh, T., Belhaouari, S. und Stuckenschmidt, H. (2020). Metrics performance analysis of optical flow. In , VISIGRAPP 2020 : proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Feb 27, 2020 – Feb 29, 2020, Valetta, Malta (S. 749-758). Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, SCITEPRESS – Science and Technology Publications: Setúbal.
Armknecht, F., Verbauwhede, I., Volkamer, M. und Yung, M. (2020). Executive summary : General introduction. In , Biggest failures in security : Report from Dagstuhl Seminar 19451 (S. 1-3). Dagstuhl Reports, Schloss Dagstuhl: Wadern.
Armknecht, F., Walther, P., Tsudik, G., Beck, M. und Strufe, T. (2020). ProMACs: progressive and resynchronizing MACs for continuous efficient authentication of message streams. In , CCS '20 : Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security (S. 211-223). , Association for Computing Machinery: New York, NY.
Atkinson, C. und Kühne, T. (2020). A deep perspective on the ArchiMate Enterprise Architecture modeling language. Enterprise Modelling and Information Systems Architectures, 15, 1-25.
Becker, M., Hulpus, I., Opitz, J., Paul, D., Kobbe, J., Stuckenschmidt, H. und Frank, A. (2020). Explaining arguments with background knowledge : Towards knowledge-based argumentation analysis. Datenbank-Spektrum, 20, 131-141.
Broscheit, S., Gashteovski, K., Wang, Y. und Gemulla, R. (2020). Can we predict new facts with open knowledge graph embeddings? A benchmark for open link prediction. In , ACL 2020 : the 58th Annual Meeting of the Association for Computational Linguistics, proceedings of the conference, ACL 2020The 58th Annual Meeting of theAssociation for Computational LinguisticsProceedings of the Conference, July 5 – 10, 2020 (S. 2296-2308). , Association for Computational Linguistics: Stroudsburg, PA.
Broscheit, S., Ruffinelli, D., Kochsiek, A., Betz, P. und Gemulla, R. (2020). LibKGE – A knowledge graph embedding library for reproducible research. In , The 2020 Conference on Empirical Methods in Natural Language Processing : proceedings of systems demonstrations, November 16-20, 2020, EMNLP 2020 (S. 165-174). , Association for Computational Linguistics (ACL): Stroudsburg, PA 18360 USA.
Debjit, P., Opitz, J., Becker, M., Kobbe, J., Hirst, G. und Frank, A. (2020). Argumentative relation classification with background knowledge. In , Computational models of argument : proceedings of COMMA 2020 (S. 319-330). Frontiers in Artificial Intelligence and Applications, IOS Press: Amsterdam.
Fink, M., Meilicke, C. und Stuckenschmidt, H. (2020). Explaining differences between unaligned table snapshots. In , Advances in Database Technology – EDBT 2020, 23rd International Conference on Extending Database Technology, Copenhagen, Denmark, March 30 – April 02, proceedings (S. 133-144). , OpenProceedings.org: Copenhagen.
Freiling, F. und Armknecht, F. (2020). Attacker models and assumption coverage. In , Biggest failures in security : Report from Dagstuhl Seminar 19451 (S. 10-11). Dagstuhl Reports, Schloss Dagstuhl: Wadern.
Frendo, O., Graf, J., Gärtner, N. und Stuckenschmidt, H. (2020). Data-driven smart charging for heterogeneous electric vehicle fleets. Energy and AI, 1, 1-13.
Frendo, O., Gärtner, N. und Stuckenschmidt, H. (2020). Improving smart charging prioritization by predicting electric vehicle departure time. IEEE Transactions on Intelligent Transportation Systems, 1-8.
Fuhry, B. (2020). Secure and efficient processing of outsourced data structures using trusted execution environments. Dissertation, . Mannheim.
Fürnkranz, J., Kliegr, T. und Paulheim, H. (2020). On cognitive preferences and the plausibility of rule-based models. Machine Learning, 109, 853-898.
Gashteovski, K. (2020). Compact open information extraction: methods, corpora, analysis. Dissertation, . Mannheim.
Gashteovski, K., Gemulla, R., Kotnis, B., Hertling, S. und Meilicke, C. (2020). On aligning OpenIE extractions with Knowledge Bases: A case study. In , Evaluation and Comparison of NLP Systems : proceedings of the first workshop, november 20, 2020 (S. 143-154). , Association for Computational Linguistics (ACL): Stroudsburg, PA 18360, USA.
Glavaš, G., Karan, M. und Vulić, I. (2020). XHate-999: analyzing and detecting abusive language across domains and languages. In , The 28th International Conference on Computational Linguistics – proceedings of the conference : December 8-13, 2020, Barcelona, Spain (Online) : COLING 2020 (S. 6350-6365). , Association for Computational Linguistics: Stroudsburg, PA.
Glavaš, G. und Somasundaran, S. (2020). Two-level transformer and auxiliary coherence modeling for improved text segmentation. In , The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Innovative Applications of Artificial Intelligence Conference, the Tenth AAAI Symposium on Educational Advances in Artificial Intelligence : New York, NY, February 7-12, 2020 (S. 7797-7804). , AAAI Press: Palo Alto, CA.
Glavaš, G. und Vulić, I. (2020). Non-linear instance-based cross-lingual mapping for non-isomorphic embedding spaces. In , The 58th Annual Meeting of the Association for Computational Linguistics, proceedings of the conference : July 5-10, 2020 (S. 7548-7555). , Association for Computational Linguistics: Stroudsburg, PA.
Glavaš, G., Vulić, I., Korhonen, A. und Ponzetto, S. P. (2020). SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment. In , The International Workshop on Semantic Evaluation – proceedings of the fourteenth workshop : December 12-13, 2020, Barcelona, Spain (online) : COLING 2020 (S. 24-35). , Association for Computational Linguistics: Stroudsburg, PA.
Hamann, M., Krause, M. und Moch, A. (2020). Tight security bounds for generic stream cipher constructions. In , Selected areas in cryptography – SAC 2019 : 26th international conference, Waterloo, ON, Canada, August 12-16, 2019 : revised selected papers (S. 335-364). Lecture Notes in Computer Science, Springer: Cham.
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Heist, N. und Paulheim, H. (2020). Entity extraction from Wikipedia list pages. In , The Semantic Web : 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings (S. 327-342). Lecture Notes in Computer Science, Springer International Publishing: Cham.
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Hertling, S. und Paulheim, H. (2020). DBkWik: extracting and integrating knowledge from thousands of Wikis. Knowledge and Information Systems, 62, 2169-2190.
Hertling, S. und Paulheim, H. (2020). The knowledge graph track at OAEI : Gold standards, baselines, and the golden hammer bias. In , The semantic web : 17th international conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020 : proceedings (S. 343-359). , Springer: Cham.
Hertling, S., Portisch, J. und Paulheim, H. (2020). Supervised ontology and instance matching with MELT. In , OM 2020 : Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) Virtual conference (originally planned to be in Athens, Greece), November 2, 2020 (S. 60-71). CEUR Workshop Proceedings, RWTH: Aachen.
Huber, J. und Stuckenschmidt, H. (2020). Daily retail demand forecasting using machine learning with emphasis on calendric special days. International Journal of Forecasting, 36, 1420-1438.
Hulpus, I., Kobbe, J., Stuckenschmidt, H. und Hirst, G. (2020). Knowledge graphs meet moral values. In , Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics : Barcelona, Spain (Online), December 2020 (S. 71-80). , Association for Computational Linguistics: Stroudsburg, PA.
Iana, A. und Paulheim, H. (2020). More is not always better: The negative impact of A-box materialization on RDF2vec knowledge graph embeddings. In , CIKMW2020 : Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020) Galway, Ireland, October 19-23, 2020 (S. Paper 5, 15-8). CEUR Workshop Proceedings, RWTH: Aachen.
Kern, C. (2020). Machine learning interpretation tools. In SAGE research methods: Foundations (S. 1-12). London: SAGE Publications.
Kobbe, J., Hulpus, I. und Stuckenschmidt, H. (2020). Unsupervised stance detection for arguments from consequences. In , EMNLP 2020 : proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 16th – 20th November 2020 (S. 50-60). , Association for Computational Linguistics: Online.
Kobbe, J., Rehbein, I., Hulpus, I. und Stuckenschmidt, H. (2020). Exploring morality in argumentation. In , Proceedings of the 7th Workshop on Argument Mining : Barcelona, Spain (Online), December 13, 2020 (S. 30-40). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
Kolthoff, K., Bartelt, C. und Ponzetto, S. P. (2020). GUI2WiRe: Rapid wireframing with a mined and large-scale GUI repository using natural language requirements. In , ASE 2020 : 35th IEEE/ACM International Conference on Automated Software Engineering : Mon 21 – Fri 25 September 2020, Melbourne, Australia : Tool Demonstrations (S. 1297-1301). , ACM: New York, NY.
Krsnik, I., Glavaš, G., Krsnik, M., Miletić, D. und Štajduhar, I. (2020). Automatic annotation of narrative radiology reports. Diagnostics : Open Access Journal, 10, 1-15.
Kühne, T. und Lange, A. (2020). Meaningful metrics for multi-level modelling. In , MODELS '20 : Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Virtual Event Canada, October 2020 (S. Article 85,1-9). Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Association for Computing Machinery: New York, NY.
Lange, A., Atkinson, C. und Tunjic, C. (2020). Simplified view generation in a deep view-based modeling environment. In , Systems Modelling and Management : First International Conference, ICSMM 2020, Bergen, Norway, June 25–26, 2020, proceedings (S. 163-179). Communications in Computer and Information Science, Springer International Publishing: Cham.
Lauscher, A., Glavaš, G., Ponzetto, S. P. und Vulić, I. (2020). A general framework for implicit and explicit debiasing of distributional word vector spaces. In , The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Innovative Applications of Artificial Intelligence Conference, the Tenth AAAI Symposium on Educational Advances in Artificial Intelligence : New York, NY, February 7-12, 2020 (S. 8131-8138). , AAAI Press: Palo Alto, CA.
Lauscher, A., Majewska, O., Ribeiro, L. F. R., Gurevych, I., Rozanov, N. und Glavaš, G. (2020). Common sense or world knowledge? Investigating adapter-based knowledge injection into pretrained transformers. In , Deep Learning Inside Out (DeeLIO): the First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, proceedings of the workshop : November 19 2020, co-located with EMNLP 2020 (S. 43-49). , Association for Computational Linguistics: Stroudsburg, PA.
Lauscher, A., Ravishankar, V., Vulić, I. und Glavaš, G. (2020). From zero to hero: On the limitations of zero-shot language transfer with multilingual transformers. In , 2020 Conference on Empirical Methods in Natural Language Processing, proceedings of the conference : November 16-20, 2020 : EMNLP 2020 (S. 4483-4499). , Association for Computational Linguistics: Stroudsburg, PA.
Lauscher, A., Takieddin, R., Ponzetto, S. P. und Glavaš, G. (2020). AraWEAT: Multidimensional analysis of biases in Arabic word embeddings. In , The Fifth Arabic Natural Language Processing Workshop WANLP 2020, proceedings of the workshop : December 12, 2020, Barcelona, Spain : COLING 2020 (S. 192-199). , Association for Computational Linguistics: Stroudsburg, PA.
Lauscher, A., Vulić, I., Ponti, E. M., Korhonen, A. und Glavaš, G. (2020). Specializing unsupervised pretraining models for word-level semantic similarity. In , The 28th International Conference on Computational Linguistics : proceedings of the conference : December 8-13, 2020 : COLING 2020 (S. 1371-1383). Proceedings of the 28th International Conference on Computational Linguistics, Association for Computational Linguistics, ACL: Straoudsburg. PA.
Litschko, R., Vulić, I., Agić, . und Glavaš, G. (2020). Towards instance-level parser selection for cross-lingual transfer of dependency parsers. In , The 28th International Conference on Computational Linguistics – proceedings of the conference : December 8-13, 2020, Barcelona, Spain (Online) : COLING 2020 (S. 3886-3898). , Association for Computational Linguistics: Stroudsburg, PA.
Lüdemann, N., Shiba, A., Thymianis, N., Heist, N., Ludwig, C. A. und Paulheim, H. (2020). A knowledge graph for assessing aggressive tax planning strategies. In , The Semantic Web – ISWC 2020 : 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part II (S. 395-410). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Mandal, A. (2020). On security and privacy of consensus-based protocols in blockchain and smart grid. Dissertation, . Mannheim.
Meier, J., Werner, C., Klare, H., Tunjic, C., Aßmann, U., Atkinson, C., Burger, E., Reussner, R. und Winter, A. (2020). Classifying approaches for constructing Single Underlying Models. In , Model-driven engineering and software development : 7th International Conference, MODELSWARD 2019, Prague, Czech Republic, February 20–22, 2019, revised selected papers (S. 350-375). Communications in Computer and Information Science, Springer International Publishing: Cham.
Melo, A. und Paulheim, H. (2020). Automatic detection of relation assertion errors and induction of relation constraints. Semantic Web, 11, 801-830.
Mladen, K., Vulić, I., Korhonen, A. und Glavaš, G. (2020). Classification-based self-learning for weakly supervised bilingual lexicon induction. In , The 58th Annual Meeting of the Association for Computational Linguistics, proceedings of the conference : July 5-10, 2020 (S. 6915-6922). , Association for Computational Linguistics: Stroudsburg, PA.
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Monych, M., Portisch, J., Hladik, M. und Paulheim, H. (2020). DESKMatcher. In , OM 2020 : Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) Virtual conference (originally planned to be in Athens, Greece), November 2, 2020 (S. 181-186). CEUR Workshop Proceedings, RWTH: Aachen.
Oulabi, Y. (2020). Augmenting cross-domain knowledge bases using web tables. Dissertation, . Mannheim.
Paulheim, H. (2020). Beyond DBpedia & YAGO – The new kids on the knowledge graph block. In , AICS 2019 : Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science NUI Galway, Galway, Ireland, December 5-6th, 2019 (S. 1-2). CEUR Workshop Proceedings, RWTH: Aachen.
Paulheim, H., Tresp, V. und Liu, Z. (2020). Representation learning for the Semantic Web. Journal of Web Semantics, 61/62, Article 100570.
Peeters, R., Bizer, C. und Glavaš, G. (2020). Intermediate training of BERT for product matching. In , DI2KG 2020 : Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases (VLDB 2020), Tokyo, Japan, August 31, 2020 (S. 1-2). CEUR Workshop Proceedings, RWTH: Aachen.
Peeters, R., Primpeli, A., Wichtlhuber, B. und Bizer, C. (2020). Using schema.org annotations for training and maintaining product matchers. In , WIMS 2020: proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30 – July 3, 2020 (S. 195-204). , ACM: New York, NY.
Petrovski, P. und Bizer, C. (2020). Learning expressive linkage rules from sparse data. Semantic Web, 11, 549-567.
Ponti, E. M., Glavaš, G., Majewska, O., Liu, Q., Vulić, I. und Korhonen, A. (2020). XCOPA: A multilingual dataset for causal commonsense reasoning. In , 2020 Conference on Empirical Methods in Natural Language Processing, proceedings of the conference : November 16-20, 2020 : EMNLP 2020 (S. 2362-2376). , Association for Computational Linguistics: Stroudsburg, PA.
Portisch, J. (2020). Towards matching of domain-specific schemas using general-purpose external background knowledge. In , The semantic web: ESWC 2020 satellite events : ESWC 2020 Satellite Events, Heraklion, Crete, Greece, May 31 – June 4, 2020 : revised selected papers (S. 270-279). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Portisch, J., Fallatah, O., Neumaier, S., Jaradeh, M. Y. und Polleres, A. (2020). Challenges of linking organizational information in open government data to knowledge graphs. In , Knowledge Engineering and Knowledge Management : 22nd International Conference, EKAW 2020, Bolzano, Italy, September 16–20, 2020, proceedings (S. 271-286). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Portisch, J., Hertling, S. und Paulheim, H. (2020). Visual analysis of ontology matching results with the MELT Dashboard. In , The semantic web: ESWC 2020 satellite events : ESWC 2020 Satellite Events, Heraklion, Crete, Greece, May 31 – June 4, 2020 : revised selected papers (S. 186-190). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Portisch, J., Hladik, M. und Paulheim, H. (2020). ALOD2Vec Matcher results for OAEI 2020. In , OM 2020 – Ontology Matching 2020 – Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) (S. 147-153). CEUR Workshop Proceedings, RWTH: Aachen.
Portisch, J., Hladik, M. und Paulheim, H. (2020). KGvec2go – Knowledge graph embeddings as a service. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 5641-5647). , ELRA: Paris.
Portisch, J., Hladik, M. und Paulheim, H. (2020). RDF2Vec Light – a lightweight approach for knowledge graph embeddings. In , ISWC-Posters 2020 : Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020) Globally online, November 1-6, 2020 (UTC) (S. 79-84). CEUR Workshop Proceedings, RWTH: Aachen.
Portisch, J., Hladik, M. und Paulheim, H. (2020). Wiktionary Matcher. In , OM 2019 : Proceedings of the 14th International Workshop on Ontology Matching co-located with the 18th International Semantic Web Conference (ISWC 2019) Auckland, New Zealand, October 26, 2019 (S. 181-188). CEUR Workshop Proceedings, RWTH: Aachen.
Portisch, J. und Paulheim, H. (2020). Wiktionary matcher results for OAEI 2020. In , OM 2020 : Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) Virtual conference (originally planned to be in Athens, Greece), November 2, 2020 (S. 225-232). CEUR Workshop Proceedings, RWTH: Aachen.
Primpeli, A. und Bizer, C. (2020). Profiling entity matching benchmark tasks. In , CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management : (S. 3101-3108). , Association for Computing Machinery: New York, NY.
Primpeli, A., Bizer, C. und Keuper, M. (2020). Unsupervised bootstrapping of active learning for entity resolution. In , The Semantic Web : 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings (S. 215-231). Lecture Notes in Computer Science, Springer International Publishing: Cham.
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Ruffinelli, D., Broscheit, S. und Gemulla, R. (2020). You CAN teach an old dog new tricks! On training knowledge graph embeddings. In , ICLR 2020 : Eighth International Conference on Learning Representations : virtual conference, formerly Addis Ababa ETHIOPIA, Sun Apr 26th through May 1st (S. 1-12). , ICLR: La Jolla, CA.
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2020). Robust decision tree induction from unreliable data sources. In , STAIRS 2020 : Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020) Santiago Compostela, Spain, August, 2020 (S. Paper 6, 1-8). CEUR Workshop Proceedings, RWTH: Aachen.
Schreckenberger, C., Glockner, T., Stuckenschmidt, H. und Bartelt, C. (2020). Restructuring of Hoeffding trees for Trapezoidal Data Streams. In , 20th IEEE International Conference on Data Mining Workshops : 17–20 November 2020, Virtual Conference : Proceedings (S. 416-423). , IEEE: Los Alamitos, CA [u.a.].
Tajan, L. (2020). Privacy-preserving data processing for real use cases. Dissertation, . Mannheim.
Tajan, L., Westhoff, D. und Armknecht, F. (2020). Solving set relations with secure bloom filters keeping cardinality private. In , SECRYPT 2020 : proceedings of the 17th International Conference on Security and Cryptography : July 8-10, 2020 (S. 443-450). , SCITEPRESS: Setúbal.
Theil, C. K. und Stuckenschmidt, H. (2020). Predicting modality in financial dialogue. In , FNP-FNS 2020 : Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation, December 2020, Barcelona, Spain (Online) (S. 226-234). ACL Anthology, Association for Computational Linguistics: Stroudsburg, PA.
Theil, C. K., Štajner, S. und Stuckenschmidt, H. (2020). Explaining financial uncertainty through specialized word embeddings. ACM/IMS Transactions on Data Science : TDS, 1, Article 6, 1-19.
Vulić, I., Korhonen, A. und Glavaš, G. (2020). Improving bilingual lexicon induction with unsupervised post-processing of monolingual word vector spaces. In , The 5th Workshop on Representation Learning for NLP (RepL4NLP-2020), proceedings of the workshop : July 9, 2020, co-located with ACL 2020 (S. 45-54). , Association for Computational Linguistics: Stroudsburg, PA.
Vulić, I., Ponti, E. M., Litschko, R., Glavaš, G. und Korhonen, A. (2020). Probing pretrained language models for lexical semantics. In , 2020 Conference on Empirical Methods in Natural Language Processing, proceedings of the conference : November 16-20, 2020 : EMNLP 2020 (S. 7222-7240). , Association for Computational Linguistics: Stroudsburg, PA.
Zhang, Z., Bizer, C., Peeters, R. und Primpeli, A. (2020). MWPD2020: Semantic Web challenge on Mining the Web of HTML-embedded product data. In , MWPD 2020 : Proceedings of the Semantic Web Challenge on Mining the Web of HTML-embedded Product Data co-located with the 19th International Semantic Web Conference (ISWC 2020) Athens, Greece, November 5, 2020 (S. 2-18). CEUR Workshop Proceedings, RWTH: Aachen.
Zhao, W., Glavaš, G., Peyrard, M., Gao, Y., West, R. und Eger, S. (2020). On the limitations of cross-lingual encoders as exposed by reference-free machine translation evaluation. In , The 58th Annual Meeting of the Association for Computational Linguistics, proceedings of the conference : July 5-10, 2020 (S. 1656-1671). , Association for Computational Linguistics: Stroudsburg, PA.
Štajner, S. und Hulpus, I. (2020). When shallow is good enough: Automatic assessment of conceptual text complexity using shallow semantic features. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation : May 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 1414-1422). , European Language Resources Association, ELRA-ELDA: Paris.
Štajner, S., Nisioi, S. und Hulpus, I. (2020). CoCo: A tool for automatically assessing conceptual complexity of texts. In , LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation : May 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (S. 7179-7186). , European Language Resources Association: Paris.

2019

Abercrombie, G., Nanni, F., Batista-Navarro, R. und Ponzetto, S. P. (2019). Policy preference detection in parliamentary debate motions. In , Proceedings of the 23rd Conference on Computational Natural Language Learning : CoNLL 2019 (S. 249-259). , Association for Computational Linguistics: Stroudsburg, PA.
Algergawy, A., Faria, D., Ferrara, A., Fundulaki, I., Harrow, I., Hertling, S., Jiménez-Ruiz, E., Karam, N., Khiat, A., Lambrix, P., Li, H., Montanelli, S., Paulheim, H., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Zamazal, O. und Zhou, L. (2019). Results of the Ontology Alignment Evaluation Initiative 2019. In , OM 2019 : Proceedings of the 14th International Workshop on Ontology Matching co-located with the 18th International Semantic Web Conference (ISWC 2019) Auckland, New Zealand, October 26, 2019 (S. 46-85). CEUR Workshop Proceedings, RWTH: Aachen.
Alhersh, T., Brahim Belhaouari, S. und Stuckenschmidt, H. (2019). Action recognition using local visual descriptors and inertial data. In , Ambient Intelligence : 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings (S. 123-138). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Alhersh, T. und Stuckenschmidt, H. (2019). On the combination of IMU and optical flow for action recognition. In , 2019 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) : 11–15 March 2019 in Kyoto, Japan (S. 17-21). 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), IEEE: Piscataway, NJ.
Alhersh, T. und Stuckenschmidt, H. (2019). Unsupervised fine-tuning of optical flow for better motion boundary estimation. In , Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : February 25-27, 2019, in Prague, Czech Republic ; Volume 5: VISAPP (S. 776-783). Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – Volume 5: VISAPP, SciTePress: Setúbal, Portugal.
Anwar, S., Ustalov, D., Arefyev, N., Ponzetto, S. P., Biemann, C. und Panchenko, A. (2019). HHMM at SemEval-2019 Task 2: Unsupervised frame induction using contextualized word embeddings. In , NAACL HLT 2019 : The International Workshop on Semantic Evaluation, Proceedings of the Thirteenth Workshop, June 6-June 7, 2019, Minneapolis, Minnesota, USA (S. 125-129). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
Armknecht, F., Benenson, Z., Morgner, P., Müller, C. und Riess, C. (2019). Privacy implications of room climate data. Journal of Computer Security, 27, 113-135.
Atkinson, C., Burger, E., Meier, J., Reussner, R. und Winter, A. (2019). Preface to the 1st Workshop on View-Oriented Software Engineering (VoSE). In , 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion : 15–20 September 2019, Munich, Germany : proceedings (S. 370). , IEEE: Los Alamitos, CA [u.a.].
Beedkar, K., Gemulla, R. und Mertens, W. (2019). A unified framework for frequent sequence mining with subsequence constraints. ACM Transactions on Database Systems : TODS, 44, 11:1-11:42.
Beedkar, K., Gemulla, R. und Renz-Wieland, A. (2019). The DESQ framework for declarative and scalable frequent sequence mining. In , Informatik 2019 : 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft : Konferenzbeiträge der 49. Jahrestagung der Gesellschaft für Informatik : 23.-26.9.2019, Kassel, Deutschland (S. 249-250). GI-Edition : Lecture Notes in Informatics. Proceedings, Geellschaft für Informatik: Bonn.
Bizer, C., Primpeli, A. und Peeters, R. (2019). Using the Semantic Web as a source of training data. Datenbank-Spektrum, 19, 127-135.
Burzlaff, F. und Bartelt, C. (2019). A conceptual architecture for enabling future self-adaptive service systems. In , 52nd Hawaii International Conference on System Sciences, HICSS 2019, Grand Wailea, Maui, Hawaii, USA, January 8-11, 2019 (S. 1-10). , AISeL: Atlanta, GA.
Civitarese, G., Bettini, C., Sztyler, T., Riboni, D. und Stuckenschmidt, H. (2019). newNECTAR: Collaborative active learning for knowledge-based probabilistic activity recognition. Pervasive and Mobile Computing, 56, 88-105.
Diete, A. und Stuckenschmidt, H. (2019). Fusing object information and inertial data for activity recognition. Sensors, 19, 4119, 1-22.
Diete, A., Sztyler, T. und Stuckenschmidt, H. (2019). Vision and acceleration modalities: Partners for recognizing complex activities. In , 2019 IEEE International Conference on Pervasive Computing and Communications workshops (PerCom workshops) : took place 11–15 March 2019 in Kyoto, Japan (S. 101-106). , IEEE Computer Society: Piscataway, NJ.
Frendo, O., Gärtner, N. und Stuckenschmidt, H. (2019). Real-time smart charging based on precomputed schedules. IEEE Transactions on Smart Grid, 10, 6921-6932.
Gashteovski, K., Wanner, S., Hertling, S., Broscheit, S. und Gemulla, R. (2019). OPIEC: An open information extraction corpus. In , AKBC 2019 : 1st Conference on Automated Knowledge Base Construction (AKBC) : May 20-22, 2019, Monday-Wednesday, Amherst, MA (S. 1-19). , OpenReview.net: Amherst, MA.
Ghanem, B., Glavaš, G., Giachanou, A., Ponzetto, S. P., Rosso, P. und Rangel, F. (2019). UPV-UMA at CheckThat! Lab: verifying Arabic claims using a cross lingual approach. In , CLEF 2019 : Working Notes of CLEF 2019 – Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019 (S. 1-10). CEUR Workshop Proceedings, RWTH: Aachen.
Glavaš, G., Litschko, R., Ruder, S. und Vulić, I. (2019). How to (properly) evaluate cross-lingual word embeddings: On strong baselines, comparative analyses, and some misconceptions. In , The 57th Annual Meeting of the Association for Computational Linguistics, proceedings of the conference : July 28 – August 2, 2019, Florence, Italy (S. 710-721). , Association for Computational Linguistics: Stroudsburg, PA.
Glavaš, G. und Vulić, I. (2019). Generalized tuning of distributional word vectors for monolingual and cross-lingual lexical entailment. In , The 57th Annual Meeting of the Association for Computational Linguistics, proceedings of the conference, July 28 – August 2, 2019, Florence, Italy (S. 4824-4830). , Association for Computational Linguistics: Stroudsburg, PA.
Glavaš, G. und Vulić, I. (2019). Zero-shot language transfer for cross-lingual sentence retrieval using bidirectional attention model. In , Advances in information retrieval : 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, proceedings, part I (S. 523-538). Lecture Notes in Computer Science, Springer: Cham.
Heist, N. und Paulheim, H. (2019). Uncovering the semantics of Wikipedia categories. In , The Semantic Web – ISWC 2019 : 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I (S. 219-236). Information Systems and Applications, incl. Internet/Web, and HCI, Springer: Cham.
Hertling, S. und Paulheim, H. (2019). DOME Results for OAEI 2019. In , OM 2019 : Proceedings of the 14th International Workshop on Ontology Matching co-located with the 18th International Semantic Web Conference (ISWC 2019) Auckland, New Zealand, October 26, 2019 (S. 123-130). CEUR Workshop Proceedings, RWTH: Aachen.
Hertling, S., Portisch, J. und Paulheim, H. (2019). MELT – Matching EvaLuation Toolkit. In , Semantic Systems. The Power of AI and Knowledge Graphs : 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings (S. 231-245). Lecture Notes in Computer Science, Springer: Cham.
Huber, J. (2019). Data-driven decision support for perishable goods. Dissertation, . Mannheim.
Huber, J., Müller, S., Fleischmann, M. und Stuckenschmidt, H. (2019). A data-driven newsvendor problem: From data to decision. European Journal of Operational Research : EJOR, 278, 904-915.
Hulpus, I., Kobbe, J., Becker, M., Opitz, J., Hirst, G., Meilicke, C., Nastase, V., Stuckenschmidt, H. und Frank, A. (2019). Towards explaining natural language arguments with background knowledge. In , PROFILES-SEMEX 2019 : Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-loc. with 18th International Semantic Web Conference (ISWC 2019) Auckland, NZ, Oct. 27, 2019 (S. 62-77). CEUR Workshop Proceedings, RWTH: Aachen.
Hulpus, I., Štajner, S. und Stuckenschmidt, H. (2019). A spreading activation framework for tracking conceptual complexity of texts. In , 57th Annual Meeting of the Association for Computational Linguistics, ACL 2019 : Proceedings of the conference : July 28 – August 2, 2019, Florence, Italy (S. 3878-3887). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
Iana, A., Jung, S., Naeser, P., Birukou, A., Hertling, S. und Paulheim, H. (2019). Building a conference recommender system based on SciGraph and WikiCFP. In , Semantic Systems. The Power of AI and Knowledge Graphs : 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings (S. 117-123). Lecture Notes in Computer Science, Springer: Cham.
Jäschke, A. und Armknecht, F. (2019). Unsupervised machine learning on encrypted data. In , Selected areas in cryptography – SAC 2018 : 25th international conference, Calgary, AB, Canada, August 15-17, 2018 : revised selected papers (S. 453-478). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Kamath, A., Pfeiffer, J., Ponti, E. M., Glavaš, G. und Vulić, I. (2019). Specializing distributional vectors of all words for lexical entailment. In , The 4th Workshop on Representation Learning for NLP (RepL4NLP-2019), proceedings of the workshop : August 2, 2019, Florence, Italy : ACL 2019 (S. 72-83). , Association for Computational Linguistics: Stroudsburg, PA.
Kessel, M. und Atkinson, C. (2019). A platform for diversity-driven test amplification. In , Proceedings of the 10th ACM SIGSOFT International Workshop on Automating TEST Case Design, Selection, and Evaluation, A-TEST@ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 16-17, 2019 (S. 35-41). , ACM: New York, NY.
Kessel, M. und Atkinson, C. (2019). Automatically curated data sets. In , SCAM 2019 : 19th International Working Conference on Source Code Analysis and Manipulation, September 30 – October 1, 2019, Cleveland, Ohio : proceedings (S. 56-61). , IEEE: Los Alamitos, CA [u.a.].
Kessel, M. und Atkinson, C. (2019). On the efficacy of dynamic behavior comparison for judging functional equivalence. In , SCAM 2019 : 19th International Working Conference on Source Code Analysis and Manipulation, September 30 – October 1, 2019, Cleveland, Ohio : proceedings (S. 193-203). , IEEE: Los Alamitos, CA [u.a.].
Kobbe, J., Opitz, J., Becker, M., Hulpus, I., Stuckenschmidt, H. und Frank, A. (2019). Exploiting background knowledge for argumentative relation classification. In , 2nd Conference on Language, Data and Knowledge (LDK 2019) (S. 8:1-8:14). OASIcs – OpenAccess Series in Informatics, Leibniz-Zentrum für Informatik: Wadern.
Krstanovic, S. und Paulheim, H. (2019). Fourier-based parametrization of convolutional neural networks for robust time series forecasting. In , Discovery Science 22nd International Conference, DS 2019, Split, Croatia, October 28–30, 2019, Proceedings (S. 522-532). Lecture Notes in Computer Science, Springer Nature: Cham.
Krstanovic, S. und Paulheim, H. (2019). Stacked LSTM snapshot ensembles for time series forecasting. In , Theory and applications of time series analysis : selected contributions from ITISE 2018 (S. 87-98). Contributions to Statistics, Springer International Publishing: Cham.
Krupitzer, C., Sztyler, T., Edinger, J., Breitbach, M., Stuckenschmidt, H. und Becker, C. (2019). Beyond position-awareness – extending a self-adaptive fall detection system. Pervasive and Mobile Computing, 58, Article 101026.
Kuss, E. (2019). Evaluation of process model matching techniques. Dissertation, . Mannheim.
Lange, A. und Atkinson, C. (2019). On the rules for inheritance in LML. In , 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion : 15–20 September 2019, Munich, Germany : proceedings (S. 113-118). , IEEE: Los Alamitos, CA [u.a.].
Lauscher, A. und Glavaš, G. (2019). Are we consistently biased? Multidimensional analysis of biases in distributional word vectors. In , Lexical and Computational Semantics (*SEM) – proceedings of the eighth conference : June 6-7, 2019, Minneapolis : NAACL HLT 2019 (S. 85-91). , Association for Computational Linguistics: Stroudsburg, PA.
Lauscher, A., Song, Y. und Gashteovski, K. (2019). MinScIE: Citation-centered open information extraction. In , 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 : proceedings, 2–6 June 2019, Urbana-Champaign, Illinois (S. 386-387). , ACM Press: New York, NY.
Lehmberg, O. (2019). Web table integration and profiling for knowledge base augmentation. Dissertation, . Mannheim.
Lehmberg, O. und Bizer, C. (2019). Profiling the semantics of n-ary web table data. In , Proceedings of the International Workshop on Semantic Big Data : SBD '19, Amsterdam, The Netherlands, June 30 – July 5, 2019 (S. 5:1-5:6). , ACM: New York, NY, USA.
Lehmberg, O. und Bizer, C. (2019). Synthesizing N-ary relations from web tables. In , WIMS2019 : Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, Seoul, Republic of Korea, June 26 – 28, 2019 (S. 17:1-17:12). , ACM: New York, NY, USA.
Litschko, R., Glavaš, G., Vulić, I. und Dietz, L. (2019). Evaluating resource-lean cross-lingual embedding models in unsupervised retrieval. In , SIGIR '19 : proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 21-25, 2019, Paris, France (S. 1109-1112). , Association for Computing Machinery: New York, NY.
Meier, J., Klare, H., Tunjic, C., Atkinson, C., Burger, E., Reussner, R. und Winter, A. (2019). Single underlying models for projectional, multi-view environments. In , MODELSWARD 2019 : proceedings of the 7th International Conference on Model-Driven Engineering and Software Development : Prague, Czech Republic, February 20-22, 2019 (S. 117-128). , SciTePress: Setúbal, Portugal.
Meilicke, C., Chekol, M. W., Ruffinelli, D. und Stuckenschmidt, H. (2019). An introduction to AnyBURL. In , KI 2019: Advances in Artificial Intelligence : 42nd German Conference on AI, Kassel, Germany, September 23–26, 2019, proceedings (S. 244-248). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Meilicke, C., Chekol, M. W., Ruffinelli, D. und Stuckenschmidt, H. (2019). Anytime bottom-up rule learning for knowledge graph completion. In , Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19) : August 10-16, 2019, Macao, China (S. 3137-3143). , IJCAI/AAAI Press: Menlo Park, CA.
Melo, A. und Paulheim, H. (2019). Local and global feature selection for multilabel classification with binary relevance : An empirical comparison on flat and hierarchical problems. Artificial Intelligence Review, 51, 33-60.
Nanni, F., Menini, S., Tonelli, S. und Ponzetto, S. P. (2019). Semantifying the UK Hansard (1918-2018). In , 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 : proceedings, 2–6 June 2019, Urbana-Champaign, Illinois (S. 412-413). , ACM Press: New York, NY.
Nanni, F., Zhang, J., Betz, F. und Gashteovski, K. (2019). EAL: A toolkit and dataset for entity-aspect linking. In , 2019 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019 : proceedings, 2–6 June 2019, Urbana-Champaign, Illinois (S. 430-431). , ACM Press: New York.
Oulabi, Y. und Bizer, C. (2019). Extending cross-domain knowledge bases with long tail entities using web table data. In , Advances in Database Technology – 22nd International Conference on Extending Database Technology, EDBT 2019, Lisbon, Portugal, March 26-29, 2019 : proceedings (S. 385-396). , OpenProceedings.org: Konstanz.
Oulabi, Y. und Bizer, C. (2019). Using weak supervision to identify long-tail entities for knowledge base completion. In , Semantic systems : The power of AI and knowledge graphs : 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9-12, 2019, proceedings (S. 83-98). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Ponti, E. M., Vulić, I., Glavaš, G., Reichart, R. und Korhonen, A. (2019). Cross-lingual semantic specialization via lexical relation induction. In , 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, proceedings of the conference, November 3–7, 2019, Hong Kong, China (S. 2206-2217). , Association for Computational Linguistics: Stroudsburg, PA.
Portisch, J., Hladik, M. und Paulheim, H. (2019). Evaluating ontology matchers on real-world financial services data models. In , SEMPDS 2019 : Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019) Karlsruhe, Germany, September 9th to 12th, 2019 (S. 1-5). CEUR Workshop Proceedings, RWTH: Aachen.
Primpeli, A. und Bizer, C. (2019). Robust active learning of expressive linkage rules. In , WIMS2019 : Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, Seoul, Republic of Korea, June 26 – 28, 2019 (S. 2:1-2:7). , ACM: New York, NY.
Primpeli, A., Peeters, R. und Bizer, C. (2019). The WDC training dataset and gold standard for large-scale product matching. In , Companion Proceedings of The 2019 World Wide Web Conference (S. 381-386). , ACM: New York, NY, USA.
Renz-Wieland, A., Bertsch, M. und Gemulla, R. (2019). Scalable frequent sequence mining with flexible subsequence constraints. In , IEEE 35th International Conference on Data Engineering : ICDE 2019 : Macau SAR, China, 8–11 April 2019 : proceedings (S. 1490-1501). , IEEE: Piscataway, NJ.
Ristoski, P., Rosati, J., Di Noia, T., De Leone, R. und Paulheim, H. (2019). RDF2Vec: RDF graph embeddings and their applications. Semantic Web, 10, 721-752.
Schmidt, F. D., Dietsche, M., Ponzetto, S. P. und Glavaš, G. (2019). SEAGLE: A platform for comparative evaluation of semantic encoders for information retrieval. In , The 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, proceedings of system demonstrations : November 3-7, 2019, Hong Kong, China (S. 199-204). , Association for Computational Linguistics: Stroudsburg, PA.
Schrage, F., Heist, N. und Paulheim, H. (2019). Extracting literal assertions for DBpedia from Wikipedia abstracts. In , Semantic Systems. The Power of AI and Knowledge Graphs : 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings (S. 288-294). Lecture Notes in Computer Science, Springer: Cham.
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2019). Enhancing a crowd-based delivery network with mobility predictions. In , PredictGIS'19 : Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility : Chicago, IL, USA, November 05, 2019 (S. 66-75). Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, ACM: New York, NY.
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2019). iDropout: Leveraging deep taylor decomposition for the robustness of deep neural networks. In , On the Move to Meaningful Internet Systems: OTM 2019 Conferences : Confederated International Conferences: CoopIS, ODBASE, C&TC 2019, Rhodes, Greece, October 21–25, 2019, Proceedings (S. 113-126). Lecture Notes in Computer Science, Springer International Publishing: Cham.
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Tajan, L., Westhoff, D. und Armknecht, F. (2019). Private set relations with Bloom filters for outsourced SLA validation. , 2019, 1-29.
Theil, C. K., Broscheit, S. und Stuckenschmidt, H. (2019). PRoFET: Predicting the risk of firms from event transcripts. In , Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019 (S. 5211-5217). , IJCAI/AAAI Press: Menlo Park, CA.
Tobaili, T., Fernández, M., Alani, H., Sharafeddine, S., Hajj, H. und Glavaš, G. (2019). SenZi: A sentiment analysis lexicon for the latinised Arabic (Arabizi). In , RANLP 2019 : Natural Language Processing in a Deep Learning World, International Conference Recent Advances in Natural Language, Varna, Bulgaria, 2–4 September, 2019, proceedings (S. 1203-1211). , INCOMA: Shoumen.
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Vulić, I., Glavaš, G., Reichart, R. und Korhonen, A. (2019). Do we really need fully unsupervised cross-lingual embeddings? In , 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, proceedings of the conference : November 3–7, 2019, Hong Kong, China (S. 4407-4418). , Association for Computational Linguistics: Stroudsburg, PA.
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Wang, Y., Ruffiinelli, D., Gemulla, R., Broscheit, S. und Meilicke, C. (2019). On evaluating embedding models for knowledge base completion. In , The 4th Workshop on Representation Learning for NLP (RepL4NLP-2019) – proceedings of the workshop : August 2, 2019, Florence, Italy : ACL 2019 (S. 104-112). , Association for Computational Linguistics: Florence, Italy.

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Publikationen des Instituts für Informatik und Wirtschaftsinformatik

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Dekanat der Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik

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