Publikationen des Instituts für Informatik und Wirtschaftsinformatik

2023

Breit, A., Waltersdorfer, L., Ekaputra, F. J, Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., Teije, A. . und van Harmelen, F. (2023). Combining machine learning and semantic web: A systematic mapping study. ACM Computing Surveys : CSUR, 55, 1–41.
Brinkmann, A. (2023). Neural data search for table augmentation. In , Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, Ioannina, Greece, March, 28, 2023 (S. 1–4). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Brinkmann, A., Primpeli, A. und Bizer, C. (2023). The Web Data Commons Schema.Org Data Set Series. In , The ACM Web Conference : Companion of the World Wide Web Conference WWW 2023 (S. 136–139). , Association for Computing Machinery: New York, NY.
Busch, K., Rochlitzer, A., Sola, D. und Leopold, H. (2023). Just tell me: Prompt engineering in business process management. In , Enterprise, business-process and information systems modeling : 24th International Conference, BPMDS 2023, and 28th International Conference, EMMSAD 2023, Zaragoza, Spain, June 12–13, 2023, proceedings (S. 3–11). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u.a.].
Cohausz, L., Tschalzev, A., Bartelt, C. und Stuckenschmidt, H. (2023). Investigating the importance of demographic features for EDM-predictions. In , Proceedings of the 16th International Conference on Educational Data Mining (S. 125–136). , International Educational Data Mining Society: Bengaluru, India.
Daniel, R. (2023). Knowledge graph embeddings: link prediction and beyond. Dissertation. Mannheim.
Friede, D., Reimers, C., Stuckenschmidt, H. und Niepert, M. (2023). Learning disentangled discrete representations. In , Machine learning and knowledge discovery in databases : research track : European conference, EMCL PKDD 2023, Turin, Italy, september 18–22,2023, proceedings, part IV (S. 593–609). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
He, Y., Schreckenberger, C., Stuckenschmidt, H. und Wu, X. (2023). Towards utilitarian online learning – A review of online algorithms in open feature space. In , Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (S. 6647-6655). , International Joint Conferences on Artificial Intelligence Organization: Macao SAR.
Heist, N. und Paulheim, H. (2023). NASTyLinker: NIL-aware scalable transformer-based entity linker. In , The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28-June 1, 2023, Proceedings (S. 174–191). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Iana, A., Glavaš, G. und Paulheim, H. (2023). Simplifying content-based neural news recommendation: On user modeling and training objectives. In , Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23) (S. 2384-2388). , Association for Computing Machinery: New York, NY, United States.
Kessel, M. (2023). LASSO – an observatorium for the dynamic selection, analysis and comparison of software. Dissertation. Mannheim.
Klamm, C., Rehbein, I. und Ponzetto, S. P. (2023). Our kind of people? Detecting populist references in political debates. In , Findings of EACL 2023 : The 17th Conference of the European Chapter of the Association for Computational Linguistics (S. 1227-1243). , Association for Computational Linguistics: Dubrovnik, Croatia.
Kobbe, J. (2023). Automatic generation of structured explanations for arguments from consequences. Dissertation. Mannheim.
Kobbe, J., Hulpus, I. und Stuckenschmidt, H. (2023). Effect graph: Effect relation extraction for explanation generation. In , Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE) (S. 116–127). , Association for Computational Linguistics: Toronto, Canada.
Kolthoff, K., Bartelt, C. und Ponzetto, S. P. (2023). Correction to: Data-driven prototyping via natural- language-based GUI retrieval. Automated Software Engineering, 30, 1–2.
Kolthoff, K., Bartelt, C. und Ponzetto, S. P. (2023). Data-driven prototyping via natural-language-based GUI retrieval. Automated Software Engineering, 30, 1–34.
Korini, K. und Bizer, C. (2023). Column type annotation using ChatGPT. In , Joint proceedings of workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 – September 1, 2023, VLDBW 2023 (S. 1–12). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Ludwig, K., Grote, A., Iana, A., Alam, M., Paulheim, H., Sack, H., Weinhardt, C. und Müller, P. (2023). Divided by the algorithm? The (limited) effects of content- and sentiment-based news recommendation on affective, ideological, and perceived polarization. Social Science Computer Review : SSCORE, 1–23.
Meilicke, C., Chekol, M. W., Betz, P., Fink, M. und Stuckenschmidt, H. (2023). Anytime bottom-up rule learning for large-scale knowledge graph completion. The VLDB Journal, 1–31.
Moch, A. (2023). Provable security against generic attacks on stream ciphers. Journal of Mathematical Cryptology, 17, 1–27.
Moch, A. (2023). Provable security for lightweight message authentication and encryption. Dissertation. Mannheim.
Ott, S., Betz, P., Stepanova, D., Gad-Elrab, M. H., Meilicke, C. und Stuckenschmidt, H. (2023). Rule-based knowledge graph completion with canonical models. In , CIKM'23: Proceedings of the 32nd ACM International Conference on Information & Knowledge Management (S. ). , ACM: Birmingham, United Kingdom.
Peeters, R. und Bizer, C. (2023). Using ChatGPT for Entity Matching. In , New Trends in Database and Information Systems : ADBIS 2023 short papers, doctoral consortium and workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings (S. 221–230). Communications in Computer and Information Science, Springer: Cham.
Peeters, R., Der, R. C. und Bizer, C. (2023). WDC products: A multi-dimensional entity matching benchmark. In , Proceedings 27th International Conference on Extending Database Technology (EDBT 2024), Paestum, Italy, March 25 – March 28 (S. 22–33). OpenProceedings, OpenProceedings.org: Konstanz.
Schlechtinger, M., Kosack, D., Paulheim, H., Fetzer, T. und Krause, F. (2023). The price of algorithmic pricing: Investigating collusion in a market simulation with AI agents. In , AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (S. 2748-2750). , International Foundation for Autonomous Agents and Multiagent Systems: Richland, SC.
Schreckenberger, C., He, Y., Lüdtke, S., Bartelt, C. und Stuckenschmidt, H. (2023). Online random feature forests for learning in varying feature spaces. In , Proceedings of the 37th AAAI Conference on Artificial Intelligence. Vol. 4 (S. 4587-4595). , AAAI Press: Washington, DC.
Schäfer, B. (2023). Recognizing hand-drawn diagrams in images. Dissertation. Mannheim.
Sola, D., der Aa, H., Meilicke, C. und Stuckenschmidt, H. (2023). Activity recommendation for business process modeling with pre-trained language models. In , The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greeece, May 28-June 1, 2023. Proceddings (S. 316–334). , Springer International Publishing: Cham, Switzerland.
Sola, D., Warmuth, C., Schäfer, B., Badakhshan, P., Rehse, J.-R. und Kampik, T. (2023). SAP Signavio Academic Models: A large process model dataset. In , Process Mining Workshops : ICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers (S. 453–465). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u.a.].
Spreitzenbarth, J., Bode, C. und Stuckenschmidt, H. (2023). Designing an AI purchasing requisition bundling generator. Computers in Industry, 155, Article 104043, 1–14.
Spreitzenbarth, J., Bode, C. und Stuckenschmidt, H. (2023). Designing an AI-enabled bundling generator in an automotive case study. In , Proceedings of the 56th Annual Hawaii International Conference on System Sciences (S. 4495-4504). , University of Hawaii at Manoa: Honolulu, HI.
Takeshita, S., Green, T., Friedrich, N., Eckert, K. und Ponzetto, S. P. (2023). Cross-lingual extreme summarization of scholarly documents. International Journal on Digital Libraries, 1–23.
Waltersdorfer, L., Breit, A., Ekaputra, F. J, Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., Teije, A. . und van Harmelen, F. (2023). Semantic web machine learning systems: An analysis of system patterns. In Compendium of neurosymbolic artificial intelligence (S. 77–99). Amsterdam: IOS Press.
Wilken, N., Cohausz, L., Bartelt, C. und Stuckenschmidt, H. (2023). Planning landmark based goal recognition revisited: Does using initial state landmarks make sense? In , KI 2023: Advances in Artificial Intelligence : 46th Conference on AI, Berlin, Germany, September 26–29, 20023, proceedings (S. 231–244). Lecture Notes in Computer Science, Springer: Berlin [u.a.].

2022

Alturki, S. (2022). Predicting students' academic achievement using methods of educational data mining. Dissertation. Mannheim.
Alturki, S., Cohausz, L. und Stuckenschmidt, H. (2022). Predicting master’s students’ academic performance: An empirical study in Germany. Smart Learning Environments, 9, 1–22.
Alturki, S., Hulpus, I. und Stuckenschmidt, H. (2022). Predicting academic outcomes: A survey from 2007 till 2018. Technology, Knowledge and Learning, 27, 275–307.
Atkinson, C. und Kühne, T. (2022). Taming the complexity of digital twins. IEEE Software, 39, 27–32.
Betz, P., Christian, M. und Heiner, S. (2022). Supervised knowledge aggregation for knowledge graph completion. In , The semantic web: 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29-June 2, 2022 : proceedings (S. 74–92). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Betz, P., Meilicke, C. und Stuckenschmidt, H. (2022). Adversarial explanations for knowledge graph embeddings. In , Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence : Vienna, 23–29 July 2022 (S. 2820-2826). , International Joint Conferences on Artificial Intelligence: Darmstadt ; Vienna.
Brendle, M., Weber, N., Vallyev, M., May, N., Schulze, R., Böhm, A., Moerkotte, G. und Grossniklaus, M. (2022). SAHARA: Memory footprint reduction of cloud databases with automated table partitioning. In , Proceedings of the 25th International Conference on Extending Database Technology, EDBT 2022. Edinburgh, UK, March 29 – April 1 (S. 13–26). Advances in Database Technology, OpenProceedings.org: Konstanz.
Cohausz, L. (2022). Towards real interpretability of student success prediction combining methods of XAI and social science. In , Proceedings of the 15th International Conference on Educational Data Mining (S. 361–367). , International Educational Data Mining Society: Durham.
Cohausz, L. (2022). When probabilities are not enough – A framework for causal explanations of student success models. Journal of Educational Data Mining, 14, 52–75.
Cohausz, L., Wilken, N. und Stuckenschmidt, H. (2022). Plan-similarity based heuristics for goal recognition. In , 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) : PerCom Workshops 2022 (S. 316–321). , IEEE: Pisa.
Flachs, D., Müller, M. und Moerkotte, G. (2022). The 3D hash join: Building on non-unique join attributes. In , 12th Conference on Innovative Data Systems Research, CIDR 2022, Chaminade, Ca, USA, January 9–12, 2022 (S. 1–9). , CIDR: Chaminade.
Friede, D. und Niepert, M. (2022). Efficient learning of discrete-continuous computation graphs. In , 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6–14 December 2021 (S. 6720-6732). Advances in Neural Information Processing Systems, Curran Associates: Red Hook, NY.
Heist, N. und Paulheim, H. (2022). Transformer-based subject entity detection in Wikipedia listings. In , Proceedings of the 5th Workshop on Deep Learning for Knowlege Graphs (DL4KG 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022) (S. 1–16). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Hung, C.-C., Green, T., Litschko, R., Tsereteli, T., Takeshita, S., Bombieri, M., Glavaš, G. und Ponzetto, S. P. (2022). ZusammenQA: Data augmentation with specialized models for cross-lingual open-retrieval question answering system. In , Proceedings of the Workshop on Multilingual Information Access (MIA) (S. 77–90). , Association for Computational Linguistics: Seattle, USA.
Iana, A., Alam, M. und Paulheim, H. (2022). A survey on knowledge-aware news recommender systems. Semantic Web, 1–59.
Kappenberger, J., Theil, K. und Stuckenschmidt, H. (2022). Evaluating the impact of AI-based priced parking with social simulation. In , Social Informatics: 13th International Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, proceedings (S. 54–75). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Kessel, M. und Atkinson, C. (2022). Diversity-driven unit test generation. The Journal of Systems and Software : JSS, 193.
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: Aachen, Germany.
Korini, K., Peeters, R. und Bizer, C. (2022). SOTAB: The WDC Schema.org table annotation benchmark. In , SemTab 2022 : Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, co-located with the 21st International semantic Web Conference (ISWC 2022), virtual conference, October 23–27, 2022 (S. 14–19). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
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: Aachen, Germany.
Lange, A. und Atkinson, C. (2022). Multi-level modeling with LML : A contribution to the Multi-level Process Challenge. Enterprise Modelling and Information Systems Architectures, 17, 1–36.
Litschko, R., Vulić, I., Ponzetto, S. P. und Glavaš, G. (2022). On cross-lingual retrieval with multilingual text encoders. Information Retrieval Journal, 25, 149–183.
Lüdtke, S., Bartelt, C. und Stuckenschmidt, H. (2022). Exchangeability-aware sum-product networks. In , Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, Vienna, 23–29 July 2022 (S. 4864-4870). , International Joint Conferences on Artificial Intelligence Organization: Wien.
Marton, S., Lüdtke, S. und Bartelt, C. (2022). Explanations for neural networks by neural networks. Applied Sciences, 12, 1–14.
Müller, M. (2022). Selected problems in cardinality estimation. Dissertation. Mannheim.
Müller, M. und Moerkotte, G. (2022). Translation grids for multi-way join size estimation. In , Proceedings of the 25th International Conference on Extending Database Technology, EDBT 2022. Edinburgh, UK, March 29 – April 1 (S. 378–382). Advances in Database Technology, OpenProceedings: Konstanz.
Peeters, R. und Bizer, C. (2022). Cross-language learning for product matching. In , Companion Proceedings of the Web Conference 2022 (S. 236–238). , ACM: New York, NY.
Peeters, R. und Bizer, C. (2022). Integrating product data using deep learning : Art.-Nr. 11. In , Proceedings of the 7th bwHPC Symposium (S. 59–62). , Universität Ulm: Ulm.
Peeters, R. und Bizer, C. (2022). Supervised contrastive learning for product matching. In , Companion Proceedings of the Web Conference 2022 (S. 248–251). , ACM: New York, NY.
Portisch, J. (2022). Exploiting general-purpose background knowledge for automated schema matching. Dissertation. Mannheim.
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, 13, 399–422.
Portisch, J., Hladik, M. und Paulheim, H. (2022). Background knowledge in ontology matching : a survey. Semantic Web, 55, 1–55.
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: Aachen, Germany.
Portisch, J. und Paulheim, H. (2022). The DLCC node classification benchmark for analyzing knowledge graph embeddings. In , The Semantic Web – ISWC 2022 : 21st International Semantic Web Conference, virtualeEvent, October 23–27, 2022, proceedings (S. 592–609). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
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: Aachen, Germany.
Primpeli, A. (2022). Reducing the labeling effort for entity resolution using distant supervision and active learning. Dissertation. Mannheim.
Primpeli, A. und Bizer, C. (2022). Impact of the characteristics of multi-source entity matching tasks on the performance of active learning methods. In , The Semantic Web : 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 – June 2, 2022, proceedings (S. 113–129). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Renz-Wieland, A., Gemulla, R., Kaoudi, Z. und Markl, V. (2022). NuPS: A parameter server for machine learning with non-uniform parameter access. In , SIGMOD '22 : proceedings of the 2022 International Conference on Management of Data : June 12–17, 2022, Philadelphia, PA, USA (S. 481–495). , ACM: New York, NY.
Schreckenberger, C., Bartelt, C. und Stuckenschmidt, H. (2022). Dynamic forest for learning from data streams with varying feature spaces. In , Cooperative information systems : 28th International Conference, CoopIS 2022, Bozen-Bolzano, Italy, October 4–7, 2022, Proceedings (S. 95–111). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Schäfer, B., der Aa, H., Leopold, H. und Stuckenschmidt, H. (2022). Sketch2Process: End-to-end BPMN Sketch Recognition Based on Neural Networks. IEEE Transactions on Software Engineering, 1–21.
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 [u.a.].
Theil, C. (2022). Uncertainty, risk, and financial disclosures : applications of natural language processing in behavioral economics. Dissertation. Mannheim.
Tsereteli, T., Kartal, Y. S., Ponzetto, S. P., Zielinski, A., Eckert, K. und Mayr, P. (2022). Overview of the SV-ident 2022 shared task on survey variable identification in social science publications. In , Proceedings of the Third Workshop on Scholarly Document Processing (S. 229–246). COLING / International Committee on Computational Linguistics, Association for Computational Linguistics: New York, NY.
Wilken, N., Cohausz, L., Schaum, J., Lüdtke, S., Bartelt, C. und Stuckenschmidt, H. (2022). Leveraging planning landmarks for hybrid online goal recognition. In , International Conference on Automated Planning and Scheduling ICAPS (2022) : June 13–17, 2022, virtual (S. ). , CEUR Workshop Proceedings: Aachen.

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. Berlin [u.a.]: Springer.
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, Germany.
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: Aachen, Germany.
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: Aachen, Germany.
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: Berlin [u.a.].
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: Berlin [u.a.].
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.].
Heist, N. und Paulheim, H. (2021). The CaLiGraph ontology as a challenge for OWL reasoners. In , Semantic Reasoning Evaluation Challenge 2021 : proceedings of the Semantic Reasoning Evaluation Challenge (SemREC 2021), co-located with the 20th International Semantic Web Conference (ISWC 2021); virtual event, October 27th, 2021 (S. 21–31). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
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, Germany.
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, Germany.
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: Aachen, Germany.
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: Berlin [u.a.].
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: Berlin [u.a.].
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: Berlin [u.a.].
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: Aachen, Germany.
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 [u.a.].
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, 1–23.
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: Berlin [u.a.].
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 [u.a.].
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: Berlin [u.a.].
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: Berlin [u.a.].
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: Aachen, Germany.

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. Berlin [u.a.]: Springer.
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: Aachen, Germany.
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: Aachen, Germany.
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: Berlin [u.a.].
Havenstein, D., Lysakovski, P., May, N., Moerkotte, G. und Steidl, G. (2020). Fast entropy maximization for selectivity estimation of conjunctive predicates on CPUs and GPUs. In , Advances in Database Technology – EDBT 2020 : 23rd International Conference on Extending Database Technology, Copenhagen, Denkmark, March 30-April 2, 2020 : proceedings (S. 546–554). , EDBT: Kopenhagen.
Heist, N., Hertling, S., Ringler, D. und Paulheim, H. (2020). Knowledge Graphs on the web – An overview. In Knowledge Graphs for eXplainable artificial intelligence : foundations, applications and challenges (S. 3–22). Amsterdam; Heidelberg: IOS Press / AKA.
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: Berlin [u.a.].
Hertling, S. und Paulheim, H. (2020). ATBox 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. 168–175). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
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: Aachen, Germany.
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: Aachen, Germany.
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: Berlin [u.a.].
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.
Moerkotte, G. und Hertzschuch, A. (2020). alpha to omega: the G(r)eek alphabet of sampling. In , CIDR 2020 : 10th Conference on Innovative Data Systems Research, Amsterdam, The Netherlands, January 12–15, 2020, Online Proceedings (S. 1–15). , CIDR: Amsterdam.
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: Aachen, Germany.
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: Aachen, Germany.
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: Aachen, Germany.
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: Berlin [u.a.].
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: Berlin [u.a.].
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: Berlin [u.a.].
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: Aachen, Germany.
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: Aachen, Germany.
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: Aachen, Germany.
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: Aachen, Germany.
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: Berlin [u.a.].
Renz-Wieland, A., Gemulla, R., Zeuch, S. und Markl, V. (2020). Dynamic parameter allocation in parameter servers. In , (S. 1877-1890). Proceedings of the VLDB Endowment, Association of Computing Machinery: New York, NY.
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: Aachen, Germany.
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: Aachen, Germany.
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.

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Publikationen des Instituts für Informatik und Wirtschaftsinformatik

2023

2022

2021

2020

Dekanat der Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik

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