Foto: Anna Logue

Publikationen des Instituts für Informatik und Wirtschaftsinformatik

2020

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.
Alhersh, T., Belhaouari, S. und Stuckenschmidt, H. (2020). Metrics performance analysis of optical flow. In Braz, J., 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.
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 Jurafsky, D., 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.
Burzlaff, F., Jacobs, S. und Bartelt, C. (2020). Automated onfiguration in adaptive IoT software ecosystems to reduce manual device integration effort: Application and evaluation of a novel engineering method. In , ADAPTIVE 2020 : The Twelfth International Conference on Adaptive and Self-Adaptiive Systems and Applications, October 25, 2020 to October 29, 2020 - Nice, France (S. tba). , IARIA ; Curran: Wilmington, DC ; Red Hook.
Debjit, P., Opitz, J., Becker, M., Kobbe, J., Hirst, G. und Frank, A. (2020). Argumentative relation classification with background knowledge. In Prakken, H., 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 Bonifati, A., 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.
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.
Heist, N., Hertling, S., Ringler, D. und Paulheim, H. (2020). Knowledge Graphs on the web - An overview. In Tiddi, I. 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 Harth, A., 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). The knowledge graph track at OAEI : Gold standards, baselines, and the golden hammer bias. In Harth, A., The Semantic Web: ESWC 2020 (S. 1-16). , Springer: Heidelberg.
Huber, J. und Stuckenschmidt, H. (2020). Daily retail demand forecasting using machine learning with emphasis on calendric special days. International Journal of Forecasting.
Huber, J. und Stuckenschmidt, H. (2020). Intraday shelf replenishment decision support for perishable goods. International Journal of Production Economics, tba, tba.
Iana, A. und Paulheim, H. (2020). More is not always better: The negative impact of A-box materialization on RDF2vec knowledge graph embeddings. In Conrad, S., 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 Atkinson, P. SAGE research methods: Foundations (S. 1-12). London: SAGE Publications.
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 Hao, D., ASE 2020 : 35th IEEE/ACM International Conference on Automated Software Engineering : Mon 21 - Fri 25 September 2020, Melbourne, Australia : Tool Demonstrations (S. 1-5). , ACM: New York, NY.
Mandal, A. (2020). On security and privacy of consensus-based protocols in blockchain and smart grid. Dissertation, . Mannheim.
Melo, A. und Paulheim, H. (2020). Automatic detection of relation assertion errors and induction of relation constraints. Semantic Web, 11, 831-853.
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 Curry, E., 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., Primpeli, A., Wichtlhuber, B. und Bizer, C. (2020). Using schema.org annotations for training and maintaining product matchers. In Chbeir, R., 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., Hladik, M. und Paulheim, H. (2020). KGvec2go – Knowledge graph embeddings as a service. In Calzolari, N., 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). Wiktionary Matcher. In Shvaiko, P., 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.
Primpeli, A. und Bizer, C. (2020). Profiling entity matching benchmark tasks. In D'Aquin, M., 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 Harth, A., 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.
Ruffinelli, D., Broscheit, S. und Gemulla, R. (2020). You CAN teach an old dog new tricks! On training knowledge graph embeddings. In Rush, A., 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 Rudolph, S., 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.
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.
Štajner, S. und Hulpus, I. (2020). When shallow is good enough: Automatic assessment of conceptual text complexity using shallow semantic features. In Calzolari, N., 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 Calzolari, N., 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 Bansal, M., 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 Shvaiko, P., 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 Chatzigiannakis, I., 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 Tremeau, A., 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 May, J., 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.
Atkinson, C., Burger, E., Meier, J., Reussner, R. und Winter, A. (2019). Preface to the 1st Workshop on View-Oriented Software Engineering (VoSE). In Burgueño, L., 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.
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 Tung, B., 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.
Civitarese, G., Sztyler, T., Riboni, D., Bettini, C. und Stuckenschmidt, H. (2019). POLARIS: Probabilistic and ontological activity recognition in smart-homes. IEEE Transactions on Knowledge and Data Engineering : TKDE.
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.
Fürnkranz, J., Kliegr, T. und Paulheim, H. (2019). On cognitive preferences and the plausibility of rule-based models. Machine Learning.
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 Ghidini, C., 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). DBkWik: extracting and integrating knowledge from thousands of Wikis. Knowledge and Information Systems, 1-22.
Hertling, S. und Paulheim, H. (2019). DOME Results for OAEI 2019. In Shvaiko, P., 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 Acosta, M., 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 Demidova, E., 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 Korhonen, A., 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 Acosta, M., 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.
Kessel, M. und Atkinson, C. (2019). A platform for diversity-driven test amplification. In Vos, T., Proceedings of the 10th ACM SIGSOFT International Workshop on Automating TEST Case Design, Selection, and Evaluation, A-TEST(at)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 O'Conner, L., 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 O'Conner, L., 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 Eskevich, M., 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 Kralj Novak, P., 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 Rojas, I., 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 Burgueño, L., 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 Mihalcea, R., 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 Bonn, M., 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 Boncz, P., Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, 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 Akerkar, R., 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 Hammoudi, S., 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 Benzmüller, C., 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 Bonn, M., 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 Bonn, M., 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 Herschel, M., 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 Acosta, M., 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.
Primpeli, A. und Bizer, C. (2019). Robust active learning of expressive linkage rules. In Akerkar, R., 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 Liu, L., 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 Acosta, M., 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 Ukkusuri, S., 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 Panetto, H., 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 Sudo, A., 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 O'Conner, L., 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 Kraus, S., 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 Augenstein, I., 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 Shvaiko, P., 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 Augenstein, I., 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 O’Conner, L., 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 Wang, L., 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 Gemulla, R., 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 Cuzzocrea, A., 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 Champin, P., 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 Haddad, H., 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 : The International Journal on Very Large Data Bases, 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 Hollink, L., 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 Day, M., 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 Wu, X., 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 Shvaiko, P., 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 Capadisli, S., 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 Shvaiko, P., 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.
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 Apidianaki, M., 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 Gemulla, R., 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 Hebig, R., 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 Chen, J., 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 Slonim, N., 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 Slonim, N., 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 Riloff, E., 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 Champin, P., 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.
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 Vrandečić, D., 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 Brügger, N. 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 Fišer, D., 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.
Nanni, F., Osman, M., Cheng, Y.-R., Ponzetto, S. P. und Dietz, L. (2018). UKParl: A data set for topic detection with semantically annotated text. In Fišer, D., Proceedings of the LREC 2018 Workshop “ParlaCLARIN : LREC2018 workshop on creating and using parliamentary corpora”, 7 May 2018 – Miyazaki, Japan (S. 29-32). , LREC: Miyazaki, Japan.
Nanni, F., Ponzetto, S. P. und Dietz, L. (2018). Entity-aspect linking : providing fine-grained semantics of entities in context. In Chen, J., Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries : June 3-6, 2018 in Fort Worth, Texas (S. 49-58). , ACM: New York, NY.
Panchenko, A., Lopukhina, A., Ustalov, D., Lopukhin, K., Arefyev, N., Leontyev, A. und Loukachevitch, N. (2018). RUSSE'2018 : a shared task on word sense induction for the Russian language. In , Computational Linguistics and Intellectual Technologies : Papers from the Annual conference „Dialogue“ 2018 : 24th International Conference on Computational Linguistics and Intellectual Technologies, May 30 - June 2, 2018 Moscow (S. 547-564). Dialogue, RSUH: Moscow, Russia.
Panchenko, A., Ustalov, D., Faralli, S., Ponzetto, S. P. und Biemann, C. (2018). Improving hypernymy extraction with distributional semantic classes. In Calzolari, N., LREC 2018, 11th International Conference on Language Resources and Evaluation : 7-12 May 2018, Miyazaki (Japan) (S. 1541-1551). , European Language Resources Association, ELRA-ELDA: Paris.
Paulheim, H. (2018). How much is a triple? Estimating the cost of knowledge graph creation. In Erp, M., ISWC-P&D-Industry-BlueSky 2018 : Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018) Monterey, USA, October 8th to 12th, 2018 (S. Paper 10). , RWTH: Aachen.
Paulheim, H. (2018). Machine learning with and for semantic web knowledge graphs. In d'Amato, C., Reasoning Web: Learning, Uncertainty, Streaming, and Scalability : 14th International Summer School 2018 Esch-sur-Alzette, Luxembourg, September 22 – 26, 2018 Tutorial Lectures (S. 110-141). Lecture Notes in Computer Science, Springer: Cham.
Paulheim, H. (2018). Make embeddings semantic again!. In Erp, M., ISWC-P&D-Industry-BlueSky 2018 : Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018) Monterey, USA, October 8th to 12th, 2018 (S. 4). CEUR Workshop Proceedings, RWTH: Aachen.
Pfeiffer, J., Broscheit, S., Gemulla, R. und Göschl, M. (2018). A neural autoencoder approach for document ranking and query refinement in pharmacogenomic information retrieval. In Demner-Fushman, D., SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 17th BioNLP Workshop : July 19, 2018 Melbourne, Australia (S. 87-97). , Association for Computational Linguistics: Stroudsburg, PA.
Portisch, J. und Paulheim, H. (2018). ALOD2Vec matcher. In Shvaiko, P., 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. 132-137). CEUR Workshop Proceedings, RWTH: Aachen.
Rico, M., Mihindukulasooriya, N., Kontokostas, D., Paulheim, H., Hellmann, S. und Gómez-Pérez, A. (2018). Predicting incorrect mappings : a data-driven approach applied to DBpedia. In , SAC '18 : the 33rd ACM/SIGAPP Symposium On Applied Computing, Pau, France, April 9 - 13, 2018, proceedings (S. 323-330). , ACM: New York, NY.
Ristoski, P. (2018). Exploiting semantic web knowledge graphs in data mining. Dissertation, . Mannheim.
Ristoski, P., Petrovski, P., Mika, P. und Paulheim, H. (2018). A machine learning approach for product matching and categorization. Semantic Web, 9, 707-728.
Schönfisch, J. (2018). Scalable integration of uncertainty reasoning and semantic web technologies. Dissertation, . Mannheim.
Schönfisch, J., Meilicke, C., von Stülpnagel, J., Ortmann, J. und Stuckenschmidt, H. (2018). Root cause analysis in IT infrastructures using ontologies and abduction in Markov Logic Networks. Information Systems : IS, 74, 103-116.
Sztyler, T., Civitarese, G. und Stuckenschmidt, H. (2018). Modeling and reasoning with ProbLog: an application in recognizing complex activities. In , 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 : Athens, Greece, March 19-23, 2018 (S. 259-264). , IEEE Computer Society: Piscataway, NJ.
Sztyler, T., Meilicke, C. und Stuckenschmidt, H. (2018). Towards systematic benchmarking of activity recognition algorithms. In , 2018 IEEE International Conference on Pervasive Computing and Communications workshops (PerCom workshops) : 2018 IEEE International Conference on Pervasive Computing and Communications workshops (PerCom workshops), 19-23 March 2018 in Athens, Greece (S. 15-20). , IEEE Computer Society: Piscataway, NJ.
Theil, C. K., Štajner, S. und Stuckenschmidt, H. (2018). Word embeddings-based uncertainty detection in financial disclosures. In Hahn, U., Economics and Natural Language Processing - proceedings of the First workshop (ECONLP 2018) : July 20, 2018, Melbourne, Australia : ACL 2018 (S. 32-37). , Association for Computational Linguistics: Stroudsburg, PA.
Theil, C. K., Štajner, S., Stuckenschmidt, H. und Ponzetto, S. P. (2018). Automatic detection of uncertain statements in the financial domain. In Gelbukh, A., Computational Linguistics and Intelligent Text Processing : 18th International Conference, CICLing 2017, Budapest, Hungary, April 17–23, 2017, Revised Selected Papers, Part II (S. 642-654). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Tunjic, C., Atkinson, C. und Draheim, D. (2018). Supporting the model-driven organization vision through deep, orthographic modeling. Enterprise Modelling and Information Systems Architectures, 13, 1-39.
Ustalov, D., Chernoskutov, M., Panchenko, A. und Biemann, C. (2018). Fighting with the sparsity of the synonymy dictionaries for automatic synset induction. In Aalst, W., Analysis of Images, Social Networks and Texts : 6th International Conference, AIST 2017, Moscow, Russia, July 27-29, 2017, Revised Selected Papers (S. 94-105). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Ustalov, D., Panchenko, A., Biemann, C. und Ponzetto, S. P. (2018). Unsupervised sense-aware hypernymy extraction. In Barbaresi, A., Proceedings Konvens 2018 = Proceedings of the 14th Conference on Natural Language Processing : Vienna, Austria, September 19-21, 2018 (S. 192-201). , ÖGAI, Österreichische Akademie der Wissenschaften: Vienna.
Ustalov, D., Panchenko, A., Kutuzov, A., Biemann, C. und Ponzetto, S. P. (2018). Unsupervised semantic frame induction using triclustering. In Cohen, S., The 56th Annual Meeting of the Association for Computational Linguistics : ACL 2018 : proceedings of the conference, vol. 2 (short papers) : July 15 - 20, 2018 Melbourne, Australia (S. 55-62). , Association for Computational Linguistics: Stroudsburg, PA.
Ustalov, D., Teslenko, D., Panchenko, A., Chernoskutov, M., Biemann, C. und Ponzetto, S. P. (2018). An unsupervised word sense disambiguation system for under-resourced languages. In Calzolari, N., LREC 2018, 11th International Conference on Language Resources and Evaluation : 7-12 May 2018, Miyazaki (Japan) (S. 1018-1022). , European Language Resources Association, ELRA-ELDA: Paris.
Wang, Y., Gemulla, R. und Li, H. (2018). On multi-relational link prediction with bilinear models. In , The Thirty-Second AAAI Conference on Artificial Intelligence, The Thirtieth Innovative Applications of Artificial Intelligence Conference, The Eighth AAAI Symposium on Educational Advances in Artificial Intelligence : New Orleans, Louisiana USA (S. 4227-4234). , AAAI Press: Palo Alto, CA.
Weiland, L. (2018). Understanding the message of images. Dissertation, . Mannheim.
Weiland, L., Hulpus, I., Ponzetto, S. P., Effelsberg, W. und Dietz, L. (2018). Knowledge-rich image gist understanding beyond literal meaning. Data & Knowledge Engineering, 117, 114 - 132.
Wiesberg, A. (2018). Machine learning on encrypted data. Dissertation, . Mannheim.
Wiesberg, A. und Armknecht, F. (2018). Unsupervised machine learning on encrypted data. Cryptology ePrint archive, 2018, Report 411.
Štajner, S. und Hulpus, I. (2018). Automatic assessment of conceptual text complexity using knowledge graphs. In Gurevych, I., 27th International Conference on Computational Linguistics, COLING 2018 : Proceedings of the conference : August 20-26, 2018, Santa Fe, New Mexico, USA (S. 318-330). , Association for Computational Linguistics, ACL: Stroudsburg, PA.

2017

Sozykin, A., Radchenko, G. und Ustalov, D. (Hrsg.) (2017). InnoCSE 2017 : Innovative Approaches in Computer Science within Higher Education : Proceedings of the 1st International Workshop on Innovative Approaches in Computer Science within Higher Education, Chelyabinsk, Russia, May 26th, 2017. Aachen: RWTH.
van Erp, M., Hellmann, S., McCrae, J. P., Chiarcos, C., Choi, K.-S., Gracia, J., Hayashi, Y., Koide, S., Mendes, P., Paulheim, H. und Takeda, H. (Hrsg.) (2017). Knowledge graphs and language technology : ISWC 2016 International Workshops: KEKI and NLP&DBpedia, Kobe, Japan, October 17-21, 2016, revised selected papers. Cham: Springer.
Blomqvist, E., Hose, K., Paulheim, H., Ławrynowicz, A., Ciravegna, F. und Hartig, O. (Hrsg.) (2017). The Semantic Web: ESWC 2017 Satellite Events : ESWC 2017 Satellite Events, Portorož, Slovenia, May 28 – June 1, 2017, revised selected papers. Cham: Springer International Publishing.
Sozykin, A. und Ustalov, D. (Hrsg.) (2017). Ural-PDC 2017 : Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists : Proceedings of the 3rd Ural Workshop on Parallel, Distributed, and Cloud Computing for Young Scientists, Yekaterinburg, Russia, October 19th, 2017. Aachen: RWTH.
Acar, E., Fink, M., Meilicke, C., Thorne, C. und Stuckenschmidt, H. (2017). Multi-attribute decision making with weighted description logics. IfCoLog Journal of Logics and its Applications, 4, 1973-1996.
Acar, E., Greco, G. und Manna, M. (2017). Group reasoning in social environments. In Das, S., AAMAS '17 Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems : Sao Paulo, Brazil, May 8 - 12, 2017 (S. 1296-1304). , International Foundation for Autonomous Agents and Multiagent Systems: Richland, SC.
Achichi, M., Cheatham, M., Dragisic, Z., Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Harrow, I., Ivanova, V., Jiménez-Ruiz, E., Kolthoff, K., Kuss, E., Lambrix, P., Leopold, H., Li, H., Meilicke, C., Mohammadi, M., Montanelli, S., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Stuckenschmidt, H., Thiéblin, E., Todorov, K., Trojahn, C. und Zamazal, O. (2017). Results of the Ontology Alignment Evaluation Initiative 2017. In Shvaiko, P., OM 2017 : Proceedings of the 12th International Workshop on Ontology Matching co-located with the 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 21, 2017 (S. 61-113). CEUR Workshop Proceedings, RWTH: Aachen.
Alharthi, R., Guthier, B., Guertin, C. und El Saddik, A. (2017). A dataset for psychological human needs detection from social networks. IEEE Access, 5, 9109-9117.
Armknecht, F., Bohli, J.-M., Froelicher, D. und Karame, G. O. (2017). Sharing proofs of retrievability across tenants. In Karri, R., ASIA CCS '17 : Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, Abu Dhabi, United Arab Emirates, April 2-6, 2017 (S. 275-287). , ACM: New York, NY.
Armknecht, F., Boyd, C., Davies, G. T., Gjøsteen, K. und Toorani, M. (2017). Side channels in deduplication: Trade-offs between leakage and efficiency. In Karri, R., Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, Asia CCS 2017, Abu Dhabi, United Arab Emirates, April 2-6, 2017 (S. 266-274). , ACM: New York, NY.
Atkinson, C. und Tunjic, C. (2017). A deep view-point language for projective modeling. In Hallé, S., 2017 IEEE 21st International Enterprise Distributed Object Computing Conference - EDOC 2017 : 10-13 October 2017, Quebec City, Quebec, Canada : proceedings (S. 133-142). , IEEE: Piscataway, NJ.
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