Foto: Anna Logue

Publikationen des Instituts für Informatik und Wirtschaftsinformatik

2021

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.
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.
Huber, J. und Stuckenschmidt, H. (2021). Intraday shelf replenishment decision support for perishable goods. International Journal of Production Economics, 231, 1-14.
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. ). , IEEE Computer Society: Piscataway, NJ.
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.
Schäfer, B., Keuper, M. und Stuckenschmidt, H. (2021). Arrow R-CNN for handwritten diagram recognition. International Journal on Document Analysis and Recognition : IJDAR, 1-15.
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. ). , 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. ). , IEEE Computer Society: Piscataway, NJ.

2020

Armknecht, F., Verbauwhede, I., Volkamer, M. und Yung, M. (Hrsg.) (2020). Biggest failures in security : Report from Dagstuhl Seminar 19451. Wadern: Schloss Dagstuhl, Leibniz-Zentrum für Informatik.
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.
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.
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). , SCITEPRESS – Science and Technology Publications: Setúbal.
Alturki, S., Hulpus, I. und Stuckenschmidt, H. (2020). Predicting academic outcomes: A survey from 2007 till 2018. Technology, Knowledge and Learning, 1-33.
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, Leibniz-Zentrum für Informatik: 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.
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, Leibniz-Zentrum für Informatik: 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.
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 International Publishing: Cham.
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.
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.
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). , 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.
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.
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.
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.
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.
Pour, M. A. N., 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.
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.
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.
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., 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.
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.
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). , 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). , 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.
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.
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, Schloss Dagstuhl – 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). , 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.
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.
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.
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). , 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.
Schreckenberger, C., Beckmann, S. und Bartelt, C. (2019). Next place prediction: A systematic literature review. In , PredictGIS 2018 : Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility : ACM GIS 2018 Conference: November 6 – November 9, 2018, Seattle, Washington (S. 37-45). , ACM: New York, NY.
Schumacher, M. (2019). A dependency-aware, context-independent code search infrastructure. Dissertation, . Mannheim.
Schäfer, B. und Stuckenschmidt, H. (2019). Arrow R-CNN for flowchart recognition. In , 2019 International Conference on Document Analysis and Recognition workshops (ICDARW) : 22–25 Sept. 2019, Sydney, Australia (S. 7-13). , IEEE: Piscataway, NJ.
Sztyler, T. (2019). Sensor-based human activity recognition: Overcoming issues in a real world setting. Dissertation, . Mannheim.
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.
Ustalov, D., Panchenko, A., Biemann, C. und Ponzetto, S. P. (2019). Watset: Local-global graph clustering with applications in sense and frame induction. Computational Linguistics, 45, 423-479.
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.

2018

Ustalov, D., Filchenkov, A., Pivovarova, L. und Žižka, J. (Hrsg.) (2018). Artificial Intelligence and Natural Language : 7th International Conference, AINL 2018, St. Petersburg, Russia, October 17–19, 2018, Proceedings. Cham: Springer.
Gangemi, A., Gentile, A. L., Nuzzolese, A. G., Rudolph, S., Maleshkova, M., Paulheim, H., Pan, J. Z. und Alam, M. (Hrsg.) (2018). The Semantic Web: ESWC 2018 Satellite Events : ESWC 2018 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers. Berlin [u.a.]: Springer.
Abaalkhail, R., Guthier, B., Alharthi, R. und El Saddik, A. (2018). Survey on ontologies for affective states and their influences. Semantic Web, 9, 441-458.
Algergawy, A., Cheatham, M., 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., Schmidt, D., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Zamazal, O. und Zhou, L. (2018). Results of the Ontology Alignment Evaluation Initiative 2018. In , OM 2018 : Proceedings of the 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (ISWC 2018) Monterey, CA, USA, October 8, 2018 (S. 76-116). CEUR Workshop Proceedings, RWTH: Aachen.
Atkinson, C., Kühne, T. und de Lara, J. (2018). Editorial to the theme issue on multi-level modeling. Software & Systems Modeling : SoSyM, 17, 163-165.
Banik, S., Mikhalev, V., Armknecht, F., Isobe, T., Meier, W., Bogdanov, A., Watanabe, Y. und Regazzoni, F. (2018). Towards low energy stream ciphers. IACR Transactions on Symmetric Cryptology, 2018, 1-19.
Broscheit, S., Gemulla, R. und Keuper, M. (2018). Learning distributional token representations from visual features. In , ACL 2018, Representation Learning for NLP : Proceedings of the Third Workshop : July 20, 2018 Melbourne, Australia (S. 187-194). , Association for Computational Linguistics: Stroudsburg, PA.
Burger, S. (2018). Ein Verfahren zur automatisierten Erkennung von Möglichkeiten zum Einsatz von Entwurfsmustern in objektorientierten Softwaresystemen. Dissertation, . Mannheim.
Burzlaff, F. und Bartelt, C. (2018). I4.0-device integration: A qualitative analysis of methods and technologies utilized by system integrators: Implications for enginering future industrial internet of things system. In , 2018 IEEE 15th International Conference on Software Architecture companion : ICSA-C 2018 : proceedings : 30 April-4 May 2018, Seattle, Washington (S. 27-34). , IEEE: Piscataway, NJ.
Burzlaff, F., Bartelt, C. und Adler, L. (2018). Towards automating service matching for manufacturing systems: Exemplifying knowledge-driven architecture composition. In , 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018), Stockholm, Sweden, 16–18 May 2018 (S. 707-713). Procedia CIRP, Elsevier ; Curran: Amsterdam ; Red Hook, NY.
Burzlaff, F., Bartelt, C. und Stuckenschmidt, H. (2018). Next steps in knowledge-driven architecture composition. In , LWDA 2018 : Proceedings of the Conference „Lernen, Wissen, Daten, Analysen“ Mannheim, Germany, August 22-24, 2018 (S. 78-83). CEUR Workshop Proceedings, RWTH: Aachen.
Chekol, M. W., Euzenat, J., Genevès, P. und Layaida, N. (2018). SPARQL query containment under schema. Journal on Data Semantics : JoDS, 7, 133-154.
Chekol, M. W. und Stuckenschmidt, H. (2018). Towards partition-aware lifted inference. In , CIKM'18 : proceedings of the 27th ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (S. 1823-1826). , ACM Digital Library: New York, NY.
Chekol, M. W. und Stuckenschmidt, H. (2018). Towards probabilistic bitemporal knowledge graphs. In , WWW '18 : Companion Proceedings of the The Web Conference 2018 : Lyon, France, April 23 – 27, 2018 (S. 1757-1762). , ACM Digital Library: New York, NY.
Chekol, M. W. und Stuckenschmidt, H. (2018). Tractable reasoning in probabilistic OWL profiles. In , Proceedings of the 33rd Annual ACM Symposium on Applied Computing 2018 (S. 888-895). , ACM Digital Library: New York, NY.
Civitarese, G., Bettini, C., Sztyler, T., Riboni, D. und Stuckenschmidt, H. (2018). NECTAR: Knowledge-based collaborative active learning for activity recognition. In , 2018 IEEE International Conference on Pervasive Computing and Communications : Athens, Greece, March 19-23, 2018 (S. 1-10). , IEEE Computer Society: Piscataway, NJ.
Diete, A., Sztyler, T. und Stuckenschmidt, H. (2018). Exploring semi-supervised methods for labeling support in multimodal datasets. Sensors, 18, Article 2639.
Diete, A., Sztyler, T., Weiland, L. und Stuckenschmidt, H. (2018). Improving motion-based activity recognition with ego-centric vision. In , 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 : Athens, Greece, March 19-23, 2018 (S. 448-491). , IEEE Computer Society: Piscataway, NJ.
Eich, M., Fender, P. und Moerkotte, G. (2018). Efficient generation of query plans containing group-by, join, and groupjoin. The VLDB Journal, 27, 617-641.
Hamann, M. (2018). Lightweight cryptography on ultra-constrained RFID devices. Dissertation, . Mannheim.
Heist, N. (2018). Towards knowledge graph construction from entity co-occurrence. In , EKAW-DC 2018 : Proceedings of the EKAW Doctoral Consortium 2018 co-located with the 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018) Nancy, France, November 13, 2018 (S. 1-8). CEUR Workshop Proceedings, RWTH: Aachen.
Heist, N., Hertling, S. und Paulheim, H. (2018). Language-agnostic relation extraction from abstracts in Wikis. Information, 9, 75.
Helmstetter, S. und Paulheim, H. (2018). Weakly supervised learning for fake news detection on Twitter. In , ASONAM 2018 : 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Barcelona, Spain, 28–31 August, 2018 (S. 274-277). , IEEE Computer Society: Washington, DC.
Hertling, S. und Paulheim, H. (2018). DBkWik: A consolidated knowledge graph from thousands of Wikis. In , 9th IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018 : proceedings (S. 17-24). , IEEE Computer Society: Piscataway, NJ [u.a.].
Hertling, S. und Paulheim, H. (2018). DOME results for OAEI 2018. In , OM 2018 : Proceedings of the 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (ISWC 2018) Monterey, CA, USA, October 8, 2018 (S. 144-151). CEUR Workshop Proceedings, RWTH: Aachen.
Hertling, S. und Paulheim, H. (2018). Provision and usage of provenance data in the WebIsALOD Knowledge Graph. In , CKGSemStats 2018 : Joint Proceedings of the International Workshops on Contextualized Knowledge Graphs, and Semantic Statistics co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th, 2018 (S. Article 6). CEUR Workshop Proceedings, RWTH: Aachen.
Jiménez-Ruiz, E., Saveta, T., Zamazal, O., Hertling, S., Röder, M., Fundulaki, I., Ngonga Ngomo, A.-C., Sherif, M. A., Annane, A., Bellahsene, Z., Ben Yahia, S., Diallo, G., Faria, D., Kachroudi, M., Khiat, A., Lambrix, P., Li, H., Mackeprang, M., Mohammadi, M., Rybinski, M., Balasubramani, B. S. und Trojahn, C. (2018). Introducing the HOBBIT platform into the ontology alignment evaluation campaign. In , OM 2018 : Proceedings of the 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (ISWC 2018) Monterey, CA, USA, October 8, 2018 (S. 49-60). CEUR Workshop Proceedings, RWTH: Aachen.
Jäschke, A. und Armknecht, F. (2018). (Finite) field work: Choosing the best encoding of numbers for FHE computation. In , Cryptology and Network Security : 16th International Conference, CANS 2017, Hong Kong, China, November 30—December 2, 2017 : revised selected papers (S. 482-492). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Kastrati, F. (2018). Optimization of Boolean expressions for main memory database systems. Dissertation, . Mannheim.
Kastrati, F. und Moerkotte, G. (2018). Generating optimal plans for Boolean expressions. In , IEEE 34th International Conference on Data Engineering : ICDE 2018 : 16–19 April 2018, Paris, France : proceedings (S. 1013-1024). , IEEE Computer Soc.: Piscataway, NJ.
Keiper, T., Lyu, Z., Pooladzadeh, S., Xu, Y., Zhang, J., Lauscher, A. und Ponzetto, S. P. (2018). UniMa at SemEval-2018 Task 7 : semantic relation extraction and classification from scientific publications. In , The International Workshop on Semantic Evaluation – proceedings of the twelfth workshop : June 5-June 6, 2018, New Orleans, Louisiana : NAACL HLT 2018 (S. 826-830). , Association for Computational Linguistics: Stroudsburg, PA.
Kessel, M. und Atkinson, C. (2018). Integrating reuse into the rapid, continuous software engineering cycle through test-driven search. In , 2018 ACM/IEEE 4th International Workshop on Rapid Continuous Software Engineering (RCoSE 2018) : proceedings : 29 May 2018, Gothenburg, Sweden (S. 8-11). , ACM: New York, NY.
Kleppmann, B., Bizer, C., Yaqub, E., Temme, F., Schlunder, P., Arnu, D. und Klinkenberg, R. (2018). Density- and correlation-based table extension. In , LWDA 2018 : Proceedings of the Conference „Lernen, Wissen, Daten, Analysen“ Mannheim, Germany, August 22-24, 2018 (S. 191-194). CEUR Workshop Proceedings, RWTH: Aachen.
Krupitzer, C., Sztyler, T., Edinger, J., Breitbach, M., Stuckenschmidt, H. und Becker, C. (2018). Hips do lie! A position-aware mobile fall detection system. In , 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom) : Athens, Greece, March 19-23, 2018 (S. 1-10). , IEEE Computer Society: Piscataway, NJ.
Kuss, E., Leopold, H., der Aa, H., Stuckenschmidt, H. und Reijers, H. A. (2018). A probabilistic evaluation procedure for process model matching techniques. Data & Knowledge Engineering, 117, 393-406.
Lange, A. und Atkinson, C. (2018). Multi-level modeling with MELANEE. In , MODELS-WS 2018 : Proceedings of MODELS 2018 Workshops: ModComp, MRT, OCL, FlexMDE, EXE, COMMitMDE, MDETools, GEMOC, MORSE, MDE4IoT, MDEbug, MoDeVVa, ME, MULTI, HuFaMo, AMMoRe, PAINS co-located ..., Copenhagen, Denmark, October, 14, 2018 (S. 653-662). CEUR Workshop Proceedings, RWTH: Aachen.
Lausch, A., Borg, E., Bumberger, J., Dietrich, P., Heurich, M., Huth, A., Jung, A., Klenke, R., Knapp, S., Mollenhauer, H., Paasche, H., Paulheim, H., Pause, M., Schweitzer, C., Schmulius, C., Settele, J., Skidmore, A. K., Wegmann, M., Zacharias, S., Kirsten, T. und Schaepman, M. E. (2018). Understanding forest health with remote sensing, part III: Requirements for a scalable multi-source forest health monitoring network based on data science approaches. Remote Sensing, 10, 1120.
Lauscher, A., Eckert, K., Galke, L., Scherp, A., Rizvi, S. T. R., Ahmed, S., Dengel, A., Zumstein, P. und Klein, A. (2018). Linked Open Citation Database : enabling libraries to contribute to an open and interconnected citation graph. In , Joint Conference on Digital Libraries 2018 : June 3-6, 2018 in Fort Worth, Texas : Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL) (S. 109-118). , ACM Press: New York, NY.
Lauscher, A., Glavaš, G. und Eckert, K. (2018). ArguminSci: a tool for analyzing argumentation and rhetorical aspects in scientific writing. In , Proceedings of the 5th Workshop on Argument Mining : November 1, 2018, Brussels, Belgium : EMNLP 2018 (S. 22-28). , Association for Computational Linguistics: Stroudsburg, PA.
Lauscher, A., Glavaš, G. und Ponzetto, S. P. (2018). An argument-annotated corpus of scientific publications. In , Proceedings of the 5th Workshop on Argument Mining : November 1, 2018, Brussels, Belgium : EMNLP 2018 (S. 40-46). , Association for Computational Linguistics: Stroudsburg, PA.
Lauscher, A., Glavaš, G., Ponzetto, S. P. und Eckert, K. (2018). Investigating the role of argumentation in the rhetorical analysis of scientific publications with neural multi-task learning models. In , EMNLP 2018 : Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, Oct. 31-Nov. 4 (S. 3326-3338). , Association for Computational Linguistics: Stroudsburg, PA.
Leblay, J. und Chekol, M. W. (2018). Deriving validity time in knowledge graph. In , WWW '18 : Companion Proceedings of the The Web Conference 2018 : Lyon, France, April 23 – 27, 2018 (S. 1771-1776). , ACM Digital Library: New York, NY.
Mandal, A., Armknecht, F. und Zenner, E. (2018). Privacy-preserving distributed economic dispatch protocol for Smart Grid. In , Secure IT systems : 23rd Nordic conference, NordSec 2018, Oslo, Norway, November 28-30, 2018 : proceedings (S. 3-18). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Meilicke, C., Fink, M., Wang, Y., Ruffinelli, D., Gemulla, R. und Stuckenschmidt, H. (2018). Fine-grained evaluation of rule- and embedding-based systems for knowledge graph completion. In , The Semantic Web – ISWC 2018 : 17th International Semantic Web Conference, Monterey, CA, USA, October 8–12, 2018, Proceedings, Part I (S. 3-20). Lecture Notes in Computer Science, Springer: Cham.
Meister, A., Moerkotte, G. und Saake, G. (2018). Errata for „Analysis of two existing and one new dynamic programming algorithm for the generation of optimal bushy join trees without cross products“. Proceedings of the VLDB Endowment, 11, 1069-1070.
Melo, A. (2018). Automatic refinement of large-scale cross-domain knowledge graphs. Dissertation, . Mannheim.
Mikhalev, V. (2018). Lightweight symmetric cryptography. Dissertation, . Mannheim.
Müller, M., Moerkotte, G. und Kolb, O. (2018). Improved selectivity estimation by combining knowledge from sampling and synopses. Proceedings of the VLDB Endowment, 11, 1016-1028.
Nanni, F. (2018). Collecting primary sources from web archives: A tale of scarcity and abundance. In The SAGE handbook of web history (S. 112-124). Los Angeles [u.a.]: Sage Publishing.
Nanni, F., Dietz, L. und Ponzetto, S. P. (2018). Toward a computational history of universities: Evaluating text mining methods for interdisciplinarity detection from PhD dissertation abstracts. Digital Scholarship in the Humanities : DSH, 33, 612-620.
Nanni, F., Glavaš, G., Ponzetto, S. P., Tonelli, S., Conti, N., Aker, A., Aprosio, A. P., Bleier, A., Carlotti, B., Gessler, T., Henrichsen, T., Hovy, D., Kahmann, C., Karan, M., Matsuo, A., Menini, S., Nguyen, D., Niekler, A., Posch, L., Vegetti, F., Waseem, Z., Whyte, T. und Yordanova, N. (2018). Findings from the hackathon on understanding euroscepticism through the lens of textual data. In , Proceedings of the LREC 2018 Workshop “ParlaCLARIN : LREC2018 workshop on creating and using parliamentary corpora”, 7 May 2018 – Miyazaki, Japan (S. 59-66). , LREC: Miyazaki, Japan.
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