Prof. Dr. Heiner Stuckenschmidt

2024

• Betz, P., Galarraga, L., Ott, S., Meilicke, C., Suchanek, F. M. and Stuckenschmidt, H. (2024). PyClause – Simple and efficient rule handling for knowledge graphs. In , Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track : Jeju, 03–09 August 2024 (S. 1–3). tba, International Joint Conferences on Artificial Intelligence: Jeju, South Korea.
• Betz, P., Lüdtke, S., Meilicke, C. and Stuckenschmidt, H. (2024). Rule Confidence Aggregation for Knowledge Graph Completion. In , Rules and reasoning : 8th International Joint Conferrence, RuleML+RR 2024, Rucharest, Romania, September 16–18, 2024, Proceedings (S. 1–1). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Cohausz, L., Kappenberger, J. and Stuckenschmidt, H. (2024). Combining fairness and causal graphs to advance both. In , Fairness and Bias in AI : Proceedings of the 2nd Workshop on Fairness and Bias in AI, co-located with 27th European Conference on Artificial Intelligence (ECAI 2024) (S. 1–14). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Cohausz, L., Kappenberger, J. and Stuckenschmidt, H. (2024). What fairness metrics can really tell you: A case study in the educational domain. In , LAK'24: Proceedings of the 14th Learning Analytics and Knowledge Conference (S. 792–799). , Association for Computing Machinery: Kyoto, Japan.
• Gastinger, J., Meilicke, C., Errica, F., Sztyler, T., Schuelke, A. and Stuckenschmidt, H. (2024). History repeats itself: A Baseline for Temporal Knowledge Graph Forecasting. In , Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track : Jeju, 03–09 August 2024 (S. ). , International Joint Conferences on Artificial Intelligence: Jeju, South Korea.
• Marton, S., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2024). GRANDE: Gradient-Based Decision Tree Ensembles for tabular data. In , International Conference on Learning Representations (S. 1–27). , OpenReview.net: .
• Marton, S., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2024). GradTree: Learning axis-aligned decision trees with gradient descent. In , Proceedings of the 38th AAAI Conference on Artificial Intelligence (S. 14323-14331). , AAAI Press: Washington, DC.
• Oesterle, M., Grams, T., Bartelt, C. and Stuckenschmidt, H. (2024). RAISE the bar: Restriction of action spaces for improved social welfare and equity in traffic management. In , Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (S. 1492-1500). , International Foundation for Autonomous Agents and Multiagent Systems: Richland, SC.
• Tschalzev, A., Marton, S., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2024). A data-centric perspective on evaluating machine learning models for tabular data. In , The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (S. 1–35). , NeurIPS: Vancouver, BC.
• Tschalzev, A., Nitschke, P., Kirchdorfer, L., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2024). Enabling mixed effects neural networks for diverse, clustered data using Monte Carlo methods. In , Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence: Jeju, 03–09 August 2024 (S. ). , International Joint Conferences on Artificial Intelligence: Jeju, South Korea.
• Wilken, N., Cohausz, L., Bartelt, C. and Stuckenschmidt, H. (2024). Fact Probability Vector Based Goal Recognition. In , 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024) (S. 4254-4261). Frontiers in Artificial Intelligence and Applications, IOS Press: Amsterdam [u. a.].

2023

• Cohausz, L., Tschalzev, A., Bartelt, C. and Stuckenschmidt, H. (2023). Investigating the importance of demographic features for EDM-predictions. In , Proceedings of the 16th International Conference on Educational Data Mining (S. 125–136). , International Educational Data Mining Society: Bengaluru, India.
• Friede, D., Reimers, C., Stuckenschmidt, H. and Niepert, M. (2023). Learning disentangled discrete representations. In , Machine learning and knowledge discovery in databases : research track : European conference, EMCL PKDD 2023, Turin, Italy, september 18–22,2023, proceedings, part IV (S. 593–609). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Gastinger, J., Sztyler, T., Sharma, L., Schuelke, A. and Stuckenschmidt, H. (2023). Comparing apples and oranges? : on the evaluation of methods for temporal knowledge graph forecasting. In , Machine learning and knowledge discovery in databases: research track : European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023 : proceedings. Part III (S. 533–549). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Gautschi, T., Gschwend, T., Oberländer, L., Ponzetto, S. P. and Stuckenschmidt, H. (2023). Der Mannheim Master in Social Data Science. In , INFORMATIK 2023 : Designing Futures: Zukünfte gestalten (S. 81–88). GI-Edition : Lecture Notes in Informatics. Proceedings, Gesellschaft für Informatik (GI): Bonn.
• He, Y., Schreckenberger, C., Stuckenschmidt, H. and Wu, X. (2023). Towards utilitarian online learning – A review of online algorithms in open feature space. In , Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (S. 6647-6655). , International Joint Conferences on Artificial Intelligence Organization: Macao SAR.
• Kobbe, J., Hulpus, I. and Stuckenschmidt, H. (2023). Effect graph: Effect relation extraction for explanation generation. In , Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE) (S. 116–127). , Association for Computational Linguistics: Toronto, Canada.
• Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2023). Outlying aspect mining via sum-product networks. In , Advances in knowledge discovery and data mining: 27th Pacific-Asia Conference on knowledge discovery and data mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023 : proceedings. Part I (S. 27–38). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Marton, S., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2023). GradTree: Learning axis-aligned decision trees with gradient descent. In , (S. 1–17). , Neural Information Processing Systems Foundation, Inc. (NeurIPS): New Orleans.
• Ott, S., Betz, P., Stepanova, D., Gad-Elrab, M. H., Meilicke, C. and Stuckenschmidt, H. (2023). Rule-based knowledge graph completion with canonical models. In , CIKM'23: Proceedings of the 32nd ACM International Conference on Information & Knowledge Management (S. 1971-1981). , ACM: Birmingham, United Kingdom.
• Schreckenberger, C., He, Y., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2023). Online random feature forests for learning in varying feature spaces. In , Proceedings of the 37th AAAI Conference on Artificial Intelligence. Vol. 4 (S. 4587-4595). , AAAI Press: Washington, DC.
• Sola, D., der Aa, H., Meilicke, C. and Stuckenschmidt, H. (2023). Activity recommendation for business process modeling with pre-trained language models. In , The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greeece, May 28-June 1, 2023. Proceddings (S. 316–334). , Springer International Publishing: Cham, Switzerland.
• Spreitzenbarth, J., Bode, C. and Stuckenschmidt, H. (2023). Designing an AI-enabled bundling generator in an automotive case study. In , Proceedings of the 56th Annual Hawaii International Conference on System Sciences (S. 4495-4504). , University of Hawaii at Manoa: Honolulu, HI.
• Theil, K., Hovy, D. and Stuckenschmidt, H. (2023). Top-down influence? Predicting CEO personality and risk impact from speech transcripts. In , Proceedings of the seventeenth International AAAI Conference on web and social media : June 5th – 8th 2023, Limassol, Cyprus (S. 832–841). International AAAI Conference on Web and Social Media, AAAI Press: Palo Alto, Calif..
• Wilken, N., Cohausz, L., Bartelt, C. and Stuckenschmidt, H. (2023). Planning landmark based goal recognition revisited: Does using initial state landmarks make sense? In , KI 2023: Advances in Artificial Intelligence : 46th Conference on AI, Berlin, Germany, September 26–29, 20023, proceedings (S. 231–244). Lecture Notes in Computer Science, Springer: Berlin [u. a.].

2022

• Betz, P., Meilicke, C. and Stuckenschmidt, H. (2022). Adversarial explanations for knowledge graph embeddings. In , Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence : Vienna, 23–29 July 2022 (S. 2820-2826). , International Joint Conferences on Artificial Intelligence: Darmstadt ; Vienna.
• Betz, P., Meilicke, C. and Stuckenschmidt, H. (2022). Supervised knowledge aggregation for knowledge graph completion. In , The semantic web: 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29-June 2, 2022 : proceedings (S. 74–92). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Cohausz, L., Wilken, N. and Stuckenschmidt, H. (2022). Plan-similarity based heuristics for goal recognition. In , 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) : PerCom Workshops 2022 (S. 316–321). , IEEE: Pisa.
• Kappenberger, J., Theil, K. and Stuckenschmidt, H. (2022). Evaluating the impact of AI-based priced parking with social simulation. In , Social Informatics: 13th International Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, proceedings (S. 54–75). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2022). Exchangeability-aware sum-product networks. In , Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, Vienna, 23–29 July 2022 (S. 4864-4870). , International Joint Conferences on Artificial Intelligence Organization: Wien.
• Oesterle, M., Bartelt, C., Lüdtke, S. and Stuckenschmidt, H. (2022). Self-learning governance of black-box multi-agent systems. In , Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XV : International Workshop, COINE 2022, virtual event, May 9, 2022, revised selected papers (S. 73–91). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Schreckenberger, C., Bartelt, C. and Stuckenschmidt, H. (2022). Dynamic forest for learning from data streams with varying feature spaces. In , Cooperative information systems : 28th International Conference, CoopIS 2022, Bozen-Bolzano, Italy, October 4–7, 2022, Proceedings (S. 95–111). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Sola, D., Meilicke, C., der Aa, H. and Stuckenschmidt, H. (2022). On the Use of Knowledge Graph Completion Methods for Activity Recommendation in Business Process Modeling. In , Business Process Management Workshops : BPM 2021 international workshops, Rome, Italy, September 6–10, 2021, revised selected papers (S. 5–17). Lecture Notes in Business Information Processing : LNBIP, Springer: Berlin [u. a.].
• Wilken, N., Cohausz, L., Schaum, J., Lüdtke, S., Bartelt, C. and Stuckenschmidt, H. (2022). Leveraging planning landmarks for hybrid online goal recognition. In , International Conference on Automated Planning and Scheduling ICAPS (2022) : June 13–17, 2022, virtual (S. ). , CEUR Workshop Proceedings: Aachen.

2021

• Betz, P., Niepert, M., Minervini, P. and Stuckenschmidt, H. (2021). Backpropagating through Markov Logic Networks. In , Proceedings of 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021) Virtual conference, October 25–27, 2021. (S. ). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Hoffmann, L., Bartelt, C. and Stuckenschmidt, H. (2021). Knowledge injection via ML-based initialization of neural networks. In , Proceedings of the CIKM 2021 Workshops (CIKMW 2021) co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021) : Gold Coast, Queensland, Australia, November 1–5,2021 (S. 1–6). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Meilicke, C., Betz, P. and Stuckenschmidt, H. (2021). Why a naive way to combine symbolic and latent knowledge base completion works surprisingly well. In , 3rd Conference on Automated Knowledge Base Construction (S. 1–26). , OpenReview.net: Online.
• Metzger, N., Hoffmann, L., Bartelt, C., Stuckenschmidt, H., Wommer, M. and Bescos del Castillo, M. B. (2021). Towards trace-graphs for data-driven test case mining in the domain of automated driving. In , Third IEEE International Conference on Artificial Intelligence Testing: AITest 2021 : proceedings : 23–26 August 2021, online event (S. 41–48). , IEEE: Piscataway, NJ.
• Pernpeintner, M., Bartelt, C. and Stuckenschmidt, H. (2021). Governing black-box agents in competitive multi-agent systems. In , Multi-Agent Systems : 18th European Conference, EUMAS 2021, virtual event, June 28–29, 2021, revised selected papers (S. 19–36). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Rehbein, I., Ponzetto, S. P., Adendorf, A., Bahnsen, O., Stoetzer, L. F. and Stuckenschmidt, H. (2021). Come hither or go away? Recognising pre-electoral coalition signals in the news. In , Proceedings of the 2021 conference on empirical methods in natural language processing (EMNLP 2021) (S. 7798-7810). , Association for Computational Linguistics: Punta Cana, Dominican Republic.
• Schäfer, B., der Aa, H., Leopold, H. and Stuckenschmidt, H. (2021). Sketch2BPMN: Automatic recognition of hand-drawn BPMN models. In , Advanced Information Systems Engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, proceedings (S. 344–360). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Schäfer, B. and Stuckenschmidt, H. (2021). DiagramNet: hand-drawn diagram recognition using visual arrow-relation detection. In , Document Analysis and Recognition – ICDAR 2021 : 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I (S. 614–630). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Sola, D., Meilicke, C., der Aa, H. and Stuckenschmidt, H. (2021). A rule-based recommendation approach for business process modeling. In , Advanced information systems engineering : 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, proceedings (S. 328–343). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Wilken, N. and Stuckenschmidt, H. (2021). Combining symbolic and statistical knowledge for goal recognition in smart home environments. In , 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (S. 26–31). , IEEE Computer Society: Piscataway, NJ.
• Wilken, N., Stuckenschmidt, H. and Bartelt, C. (2021). Combining symbolic and data-driven methods for goal recognition. In , 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (S. 428–429). , IEEE Computer Society: Piscataway, NJ.

2020

• Alhersh, T., Belhaouari, S. and Stuckenschmidt, H. (2020). Metrics performance analysis of optical flow. In , VISIGRAPP 2020 : proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Feb 27, 2020 – Feb 29, 2020, Valetta, Malta (S. 749–758). Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, SCITEPRESS – Science and Technology Publications: Setúbal.
• Fink, M., Meilicke, C. and 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.
• Hulpus, I., Kobbe, J., Stuckenschmidt, H. and 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.
• Kobbe, J., Hulpus, I. and 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. and 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.
• Schreckenberger, C., Bartelt, C. and Stuckenschmidt, H. (2020). Robust decision tree induction from unreliable data sources. In , STAIRS 2020 : Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020) Santiago Compostela, Spain, August, 2020 (S. Paper 6, 1–8). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Schreckenberger, C., Glockner, T., Stuckenschmidt, H. and 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.].
• Theil, C. K. and 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.

2019

• Alhersh, T., Brahim Belhaouari, S. and 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: Berlin [u. a.].
• Alhersh, T. and Stuckenschmidt, H. (2019). On the combination of IMU and optical flow for action recognition. In , 2019 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops) : 11–15 March 2019 in Kyoto, Japan (S. 17–21). 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), IEEE: Piscataway, NJ.
• Alhersh, T. and Stuckenschmidt, H. (2019). Unsupervised fine-tuning of optical flow for better motion boundary estimation. In , Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : February 25–27, 2019, in Prague, Czech Republic ; Volume 5: VISAPP (S. 776–783). Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – Volume 5: VISAPP, SciTePress: Setúbal, Portugal.
• Chekol, M. W., Pirrò, G. and Stuckenschmidt, H. (2019). Fast interval joins for temporal SPARQL queries. In , The Web Conference 2019 : companion of The World Wide Web Conference WWW 2019 : May 13–17, 2019, San Francisco, CA, USA (S. 1148-1154). , Association for Computing Machinery: New York, NY.
• Chekol, M. W. and Stuckenschmidt, H. (2019). Leveraging graph neighborhoods for efficient inference. In , CIKM '19 : proceedings of the 28th ACM International Conference on Information and Knowledge Management (S. 1893-1902). , Association for Computing Machinery: New York, NY.
• Chekol, M. W. and Stuckenschmidt, H. (2019). Time-aware probabilistic knowledge graphs. In , 26th International Symposium on Temporal Representation and Reasoning : TIME 2019, October 16–19, 2019, Málaga, Spain (S. 1–17). Leibniz International Proceedings in Informatics : LIPIcs, Schloss Dagstuhl – Leibniz-Zentrum für Informatik: Wadern.
• Diete, A., Sztyler, T. and 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.
• Hulpus, I., Kobbe, J., Becker, M., Opitz, J., Hirst, G., Meilicke, C., Nastase, V., Stuckenschmidt, H. and 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: Aachen, Germany.
• Hulpus, I., Štajner, S. and 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.
• Kobbe, J., Opitz, J., Becker, M., Hulpus, I., Stuckenschmidt, H. and Frank, A. (2019). Exploiting background knowledge for argumentative relation classification. In , 2nd Conference on Language, Data and Knowledge (LDK 2019) (S. 8:1–8:14). OASIcs – OpenAccess Series in Informatics, Leibniz-Zentrum für Informatik: Wadern.
• Meilicke, C., Chekol, M. W., Ruffinelli, D. and 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: Berlin [u. a.].
• Meilicke, C., Chekol, M. W., Ruffinelli, D. and 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.
• Schreckenberger, C., Bartelt, C. and Stuckenschmidt, H. (2019). Enhancing a crowd-based delivery network with mobility predictions. In , PredictGIS'19 : Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility : Chicago, IL, USA, November 05, 2019 (S. 66–75). Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility, ACM: New York, NY.
• Schreckenberger, C., Bartelt, C. and 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: Berlin [u. a.].
• Schäfer, B. and 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.
• Theil, C. K., Broscheit, S. and 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.

2018

• Burzlaff, F., Bartelt, C. and 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: Aachen, Germany.
• Chekol, M. W. and 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. and 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. and 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. and 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., Weiland, L. and 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.
• Krupitzer, C., Sztyler, T., Edinger, J., Breitbach, M., Stuckenschmidt, H. and 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.
• Meilicke, C., Fink, M., Wang, Y., Ruffinelli, D., Gemulla, R. and 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: Berlin [u. a.].
• Sztyler, T., Civitarese, G. and 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. and 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. and Stuckenschmidt, H. (2018). Word embeddings-based uncertainty detection in financial disclosures. In , 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. and Ponzetto, S. P. (2018). Automatic detection of uncertain statements in the financial domain. In , 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: Berlin [u. a.].

2017

• 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. and Zamazal, O. (2017). Results of the Ontology Alignment Evaluation Initiative 2017. In , 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: Aachen, Germany.
• Chekol, M. W., Pirrò, G., Schönfisch, J. and Stuckenschmidt, H. (2017). Marrying uncertainty and time in knowledge graphs. In , Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence and the Twenty-Ninth Innovative Applications of Artificial Intelligence Conference : February 4–9, 2017, San Francisco, California USA (S. 88–94). , AAAI Press: San Francisco, CA.
• Chekol, M. W., Pirrò, G., Schönfisch, J. and Stuckenschmidt, H. (2017). TeCoRe: temporal conflict resolution in knowledge graphs. In , Proceedings of the VLDB Endowment : 43. International Conference on Very Large Data Bases (S. Iss. 12, 1929-1932). Proceedings of the VLDB Endowment, Association of Computing Machinery: New York, NY.
• Chekol, M. W. and Stuckenschmidt, H. (2017). Rule based temporal inference. In , Technical communications of the 33rd International Conference on Logic Programming : ICLP 2017, August 28-September 1, 2017, Melbourne, Australia (S. Article 4, 1–14). Open Access Series in Informatics : OASIcs, Dagstuhl Publishing: Wadern.
• Diete, A., Sztyler, T. and Stuckenschmidt, H. (2017). A smart data annotation tool for multi-sensor activity recognition. In , 2017 IEEE International Conference on Pervasive Computing and Communications Workshops : PERCOM Workshops (S. 111–116). , IEEE Computer Soc.: Piscataway, NJ.
• Diete, A., Sztyler, T., Weiland, L. and Stuckenschmidt, H. (2017). Recognizing grabbing actions from inertial and video sensor data in a warehouse scenario. In , 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops (S. 16–23). Procedia computer science, Elsevier: Amsterdam [u. a.].
• Kuss, E., Leopold, H., Meilicke, C. and Stuckenschmidt, H. (2017). Ranking-based evaluation of process model matching. In , On the Move to Meaningful Internet Systems. OTM 2017 Conferences : Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23–27, 2017, Proceedings, Part I (S. 298–305). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Kuss, E. and Stuckenschmidt, H. (2017). Automatic classification to matching patterns for process model matching evaluation. In , ER-Forum-Demos 2017 : proceedings of the ER Forum 2017 and the ER 2017 Demo Track co-located with the 36th International Conference on Conceptual Modelling (ER 2017) Valencia, Spain, November 6–9, 2017 (S. 292–305). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Meilicke, C., Ruffinelli, D., Nolle, A., Paulheim, H. and Stuckenschmidt, H. (2017). Fast ABox consistency checking using incomplete reasoning and caching. In , Rules and Reasoning : International Joint Conference : RuleML+RR 2017, London, UK, July 12–15, 2017, Proceedings (S. 168–183). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Nolle, A., Chekol, M. W., Meilicke, C., Nemirovski, G. and Stuckenschmidt, H. (2017). Automated fine-grained trust assessment in federated knowledge bases. In , The Semantic Web – ISWC 2017 : 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017 : proceedings. Part I (S. 490–506). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Primpeli, A., Meusel, R., Bizer, C. and Stuckenschmidt, H. (2017). The Web Data Commons structured data extraction. In , E-Science-Tage 2017: Forschungsdaten managen (S. 1). , Heidelberg University: Heidelberg.
• Sztyler, T. and Stuckenschmidt, H. (2017). Online personalization of cross-subjects based activity recognition models on wearable devices. In , PerCom 2017 : The Fifteenth Annual IEEE International Conference on Pervasive Computing and Communications : March 13–17, 2017, Big Island, HI, USA (S. 180–189). , IEEE Computer Society: Piscataway, NJ.
• Štajner, S., Franco-Salvador, M., Ponzetto, S. P., Rosso, P. and Stuckenschmidt, H. (2017). Sentence alignment methods for improving text simplification systems. In , The 55th Annual Meeting of the Association for Computational Linguistics – proceedings of the conference : July 30-August 4, 2017, Vancouver, Canada : ACL 2017 (S. 97–102). , Association for Computational Linguistics: Stroudsburg, PA.
• Štajner, S., Glavaš, G., Ponzetto, S. P. and Stuckenschmidt, H. (2017). Domain adaptation for automatic detection of speculative sentences. In , IEEE 11th International Conference on Semantic Computing ICSC 2017 : 30 January – 1 February 2017, San Diego, California : proceedings (S. 164–171). , IEEE Computer Society: Los Alamitos, CA [u. a.].
• Štajner, S., Ponzetto, S. P. and Stuckenschmidt, H. (2017). Automatic assessment of absolute sentence complexity. In , Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017) : Melbourne, Australia 19–25 August 2017 (S. 4096-4102). , International Joint Conferences on Artificial Intelligence: Melbourne.

2016

• Achichi, M., Cheatham, M., Dragisic, Z., Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Harrow, I., Ivanova, V., Jiménez-Ruiz, E., Kuss, E., Lambrix, P., Leopold, H., Li, H., Meilicke, C., Montanelli, S., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Stuckenschmidt, H., Todorov, K., Trojahn, C. and Zamazal, O. (2016). Results of the Ontology Alignment Evaluation Initiative 2016. In , OM 2016 : proceedings of the 11th International Workshop on Ontology Matching co-located with the 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 18, 2016 (S. 73–129). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Chekol, M. W., Huber, J., Meilicke, C. and Stuckenschmidt, H. (2016). Markov logic networks with numerical constraints. In , ECAI 2016 : 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands : including Prestigious applications of intelligent systems (PAIS 2016) : proceedings (S. 1017-1025). Frontiers in Artificial Intelligence and Applications, IOS Press BV: Amsterdam.
• Chekol, M. W. and Stuckenschmidt, H. (2016). Uncertain temporal knowledge graphs. In , URSW 2016 : Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 17, 2016 (S. 1–12). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Diete, A., Sztyler, T., Weiland, L. and Stuckenschmidt, H. (2016). Exploring a multi-sensor picking process in the future warehouse. In , UbiComp/ISWC'16 Adjunct : Adjunct proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers (S. 1755-1758). , ACM: New York, NY.
• Kuss, E., Leopold, H., der Aa, H., Stuckenschmidt, H. and Reijers, H. A. (2016). Probabilistic evaluation of process model matching techniques. In , Conceptual modeling : 35th international conference, ER 2016, Gifu, Japan, November 14–17, 2016 : proceedings (S. 279–292). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Nolle, A., Meilicke, C., Chekol, M. W., Nemirovski, G. and Stuckenschmidt, H. (2016). Schema-based debugging of federated data sources. In , ECAI 2016 : 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands : including Prestigious applications of intelligent systems (PAIS 2016) : proceedings (S. 381–389). Frontiers in Artificial Intelligence and Applications, IOS Press BV: Amsterdam.
• Paulheim, H. and Stuckenschmidt, H. (2016). Fast approximate A-box consistency checking using machine learning. In , The Semantic Web. Latest Advances and New Domains : 13th International Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 – June 2, 2016, Proceedings (S. 135–150). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Potyka, N., Acar, E., Thimm, M. and Stuckenschmidt, H. (2016). Group decision making via probabilistic belief merging. In , Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9–15 July 2016 (S. 3623-3629). , IJCAI/AAAI Press: New York, NY.
• Riboni, D., Sztyler, T., Civitarese, G. and Stuckenschmidt, H. (2016). Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning. In , UbiComp '16 : proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing : Sep. 12–16, co-located with the International Symposium on Wearable Computers (ISWC) 2016 (S. 1–12). , ACM: New York, NY.
• Schönfisch, J. and Stuckenschmidt, H. (2016). Analyzing real-world SPARQL queries in the light of probabilistic data. In , URSW 2016 : Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016) Kobe, Japan, October 17, 2016 (S. 13–23). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Schönfisch, J., von Stülpnagel, J., Ortmann, J., Meilicke, C. and Stuckenschmidt, H. (2016). Root cause analysis through abduction in Markov logic networks. In , 2016 IEEE 20th International Enterprise Distributed Object Computing Conference (EDOC), EDOC 2016 : proceedings, 5–9 September 2016, Vienna, Austria (S. 1–13). , IEEE Computer Society Conference Publishing Services ; Curran: Washington, DC ; Red Hook, NY.
• Stuckenschmidt, H., Ponzetto, S. P. and Meilicke, C. (2016). Detecting meaningful compounds in complex class labels. In , Knowledge Engineering and Knowledge Management : 20th International Conference, EKAW 2016, Bologna, Italy, November 19–23, 2016, proceedings (S. 621–635). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Sztyler, T. and Stuckenschmidt, H. (2016). On-body localization of wearable devices : an investigation of position-aware activity recognition. In , 2016 IEEE International Conference on Pervasive Computing and Communications : PerCom 2016, Sydney, Australia, March 14–19, 2016 (S. 1–9). , IEEE Computer Society: Piscataway, NJ.
• Thorne, C., Faralli, S. and Stuckenschmidt, H. (2016). Cross-Evaluation of entity linking and disambiguation systems for clinical text annotation. In , SEMANTiCS 2016 : 12th International Conference on Semantic Systems : Leipzig, Germany September 12 – 15, 2016 : proceedings (S. 169–172). , ACM: New York, NY.
• Zirn, C., Glavaš, G., Nanni, F., Eichorts, J. and Stuckenschmidt, H. (2016). Classifying topics and detecting topic shifts in political manifestos. In , PolText 2016 : The International Conference on the Advances in Computational Analysis of Political Text : proceedings of the conference : sponsored by the European Social Fund, Operational Programme Efficient Human Resources 2014–2020 (S. 88–93). , University of Zagreb: Zagreb.
• Štajner, S., Baerg, N., Ponzetto, S. P. and Stuckenschmidt, H. (2016). Automatic detection of speculation in policy statements. In , NLP+CSS workshop at Web Science 2016 : May 22, 2016, Hannover, Germany : accepted papers (S. 1–5). , ACM: New York, NY.

2015

• Acar, E., Fink, M., Meilicke, C. and Stuckenschmidt, H. (2015). uDecide: A protégé plugin for multiattribute decision making. In , K-CAP 2015 : Proceedings of the 8th International Conference on Knowledge Capture, Palisades, NY, USA, October 7–10, 2015 (S. Article 23, 1–4). , ACM: New York, NY.
• Acar, E., Thorne, C. and Stuckenschmidt, H. (2015). Towards decision making via expressive probabilistic ontologies. In , Algorithmic Decision Theory : 4th International Conference, ADT 2015, Lexington, KY, USA, September 27–30, 2015, Proceedings (S. 52–68). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Antunes, G., Bakhshandeh, M., Borbinha, J., Cardoso, J., Dadashnia, S., Di Francescomarino, C., Dragoni, M., Fettke, P., Gal, A., Ghidini, C., Hake, P., Khiat, A., Klinkmüller, C., Kuss, E., Leopold, H., Loos, P., Meilicke, C., Niesen, T., Pesquita, C., Péus, T., Schoknecht, A., Sheetrit, E., Sonntag, A., Stuckenschmidt, H., Thaler, T., Weber, I. and Weidlich, M. (2015). The Process Model Matching Contest 2015. In , Enterprise modelling and information systems architectures : proceedings of the 6th International Workshop on Enterprise Modelling and Information Systems Architectures, September 3–4, 2015 Innsbruck, Austria (S. 127–155). GI-Edition : Lecture Notes in Informatics. Proceedings, Ges. für Informatik: Bonn.
• Chekol, M. W., Huber, J., Meilicke, C. and Stuckenschmidt, H. (2015). Probabilistic EL++ with nominals and concrete domains. In , Working Papers of the IJCAI-2015 Workshop on Weighted Logics for Artificial Intelligence WL4AI-2015, July 27, 2015, Buenos Aires (Argentina) (S. 80–87). , University of Sao Paulo: Sao Paulo.
• Debus, M., Stuckenschmidt, H. and Wessler, H. (2015). On the use of different modalities in political communication: evidence from German election manifestos. In , Building bridges for multimodal research : international perspectives on theories and practices of multimodal analysis (S. 211–225). Sprache – Medien – Innovationen, Lang: Frankfurt a. M..
• Dutta, A., Meilicke, C. and Stuckenschmidt, H. (2015). Enriching structured knowledge with open information. In , Proceedings of the 24th International Conference on World Wide Web, {WWW} 2015, Florence, Italy, May 18–22, 2015 (S. 267–277). , ACM: New York, NY.
• Leopold, H., Meilicke, C., Fellmann, M., Pittke, F., Stuckenschmidt, H. and Mendling, J. (2015). Towards the automated annotation of process models. In , Advanced Information Systems Engineering : 27th International Conference, CAiSE 2015, Stockholm, Sweden, June 8–12, 2015, Proceedings (S. 401–416). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Meilicke, C. and Stuckenschmidt, H. (2015). A new paradigm for alignment extraction. In , OM 2015 : Proceedings of the 10th International Workshop on Ontology Matching collocated with the 14th International Semantic Web Conference (ISWC 2015) Bethlehem, PA, USA, October 12, 2015 (S. 1–12). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Ponzetto, S. P., Wessler, H., Weiland, L., Kopf, S., Effelsberg, W. and Stuckenschmidt, H. (2015). Automatic classification of iconic images based on a multimodal model : an interdisciplinary project. In , Building bridges for multimodal research : international perspectives on theories and practices of multimodal analysis (S. 193–210). Sprache – Medien – Innovationen, Peter Lang Edition: Frankfurt am Main ; Bern; Wien.
• Schönfisch, J. and Stuckenschmidt, H. (2015). Towards large-scale probabilistic OBDA. In , Scalable Uncertainty Management : 9th International Conference, SUM 2015, Québec City, QC, Canada, September 16–18, 2015 : Proceedings (S. 106–120). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Sztyler, T., Völker, J., Carmona, J., Meier, O. and Stuckenschmidt, H. (2015). Discovery of personal processes from labeled sensor data – an application of process mining to personalized health care. In , ATAED 2015 Algorithms & Theories for the Analysis of Event Data : Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data, Satellite event of the conferences: Petri Nets 2015 and ACSD 2015, Brussels, Belgium (S. 31–46). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Zirn, C., Meusel, R. and Stuckenschmidt, H. (2015). Lost in discussion? – Tracking opinion groups in complex political discussions by the example of the FOMC meeting transcriptions. In , International Conference Recent Advances in Natural Language Processing 2015 : Proceedings : 5 – 11 September 2015, Hissar, Bulgaria (S. 747–753). , INCOMA Ltd.: Shoumen, Bulgaria.

2014

• Berg, N. R., Lowe, W., Ponzetto, S. P., Stuckenschmidt, H. and Zirn, C. (2014). Estimating central bank preferences. In , NLP Unshared Task in PoliInformatics : June 2014 (S. 1–6). , PoliInformatics Research Coordination Network (PInet): Washington, DC.
• Dutta, A., Meilicke, C. and Stuckenschmidt, H. (2014). Semantifying triples from open information extraction systems. In , STAIRS 2014 : Proceedings of the 7th European Starting AI Researcher Symposium (S. 111–120). Frontiers in Artificial Intelligence and Applications, IOS Press: Clifton, Va. [u. a.].
• Huber, J., Meilicke, C. and Stuckenschmidt, H. (2014). Applying Markov logic for debugging probabilistic temporal knowledge bases. In , AKBC 2014 : 4th Workshop on Automated Knowledge Base Construction (AKBC) 2014 at NIPS 2014 in Montreal, Canada, December 13, 2014 (S. 1–6). , ACM: New York, NY.
• Noessner, J., Stuckenschmidt, H., Meilicke, C. and Niepert, M. (2014). Completeness and optimality in ontology alignment debugging. In , OM-2014 : Proceedings of the 9th International Workshop on Ontology Matching collocated with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Trentino, Italy, October 20, 2014 (S. 25–36). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Nolle, A., Meilicke, C., Stuckenschmidt, H. and Nemirovski, G. (2014). Efficient federated debugging of lightweight ontologies. In , Web Reasoning and Rule Systems : 8th International Conference, RR 2014, Athens, Greece, September 15–17, 2014. Proceedings (S. 206–215). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Zirn, C., Schäfer, M., Strube, M., Ponzetto, S. P. and Stuckenschmidt, H. (2014). Exploring structural features for position analysis in political discussions. In , NLP Unshared Task in PoliInformatics : June 2014 (S. 1–5). Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science, PoliInformatics Research Coordination Network (PInet): Washington, DC.

2013

• Helaoui, R., Riboni, D. and Stuckenschmidt, H. (2013). A probabilistic ontological framework for the recognition of multilevel human activities. In , The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '13, Zurich, Switzerland, September 8–12, 2013 (S. 345–354). UbiComp '13, ACM: New York, NY.
• Meilicke, C., Noessner, J. and Stuckenschmidt, H. (2013). Towards Joint Inference for Complex Ontology Matching. In , Late-Breaking Developments in the Field of Artificial Intelligence : Papers Presented at the Twenty-Seventh AAAI Conference on Artificial Intelligence (S. 80–82). Technical report / Association for the Advancement of Artificial Intelligence. WS, AAAI Press: Palo Alto, Calif..
• Noessner, J., Niepert, M. and Stuckenschmidt, H. (2013). RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models. In , Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, July 14–18, 2012, Bellevue, Washington, USA (S. 739–745). , AAAI Press: Menlo Park, Calif..
• Stork, D., Eckert, K. and Stuckenschmidt, H. (2013). Cluster it! Semiautomatic splitting and naming of classification concepts. In , Algorithms from and for nature and life : classification and data analysis (S. 365–373). , Springer: Heidelberg.
• Stuckenschmidt, H. (2013). Debugging weighted ontologies. In , WoDOOM 2013 : Proceedings of the Second International Workshop on Debugging Ontologies and Ontology Mappings, Montpellier, France, May 27, 2013 (S. 1–8). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Stuckenschmidt, H., Schuhmacher, M., Knopp, J., Meilicke, C. and Scherp, A. (2013). On the Status of Experimental Research on the Semantic Web. In , The Semantic Web – ISWC 2013 : 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21–25, 2013, Proceedings, Part I (S. 591–606). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Svab-Zamazal, O., Schlicht, A., Stuckenschmidt, H. and Svátek, V. (2013). Constructs replacing and complexity downgrading via a generic OWL ontology transformation framework. In , SOFSEM 2013: Theory and Practice of Computer Science : 39th International Conference on Current Trends in Theory and Practice of Computer Science (S. 528–539). Lecture Notes in Computer Science, Springer: Berlin [u. a.].

2012

• Fleischhacker, D., Völker, J. and Stuckenschmidt, H. (2012). Mining RDF Data for Property Axioms. In , On the Move to Meaningful Internet Systems: OTM 2012 : Confederated International Conferences: CoopIS, DOA-SVI, and ODBASE 2012. Proceedings, Part II (S. 718–735). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Helaoui, R., Riboni, D., Niepert, M., Bettini, C. and Stuckenschmidt, H. (2012). Towards Activity Recognition Using Probabilistic Description Logics. In , Activity context representation: techniques and languages : papers from the 2012 AAAI Workshop ; [held Monday, July 23, 2012 in Toronto, Ontario, Canada] (S. 26–31). Technical report / Association for the Advancement of Artificial Intelligence. WS, AAAI Press: Palo Alto, Calif..
• Leopold, H., Niepert, M., Weidlich, M., Mendling, J., Dijkman, R. and Stuckenschmidt, H. (2012). Probabilistic Optimization of Semantic Process Model Matching. In , Business Process Management : 10th International Conference, BPM 2012; proceedings (S. 319–334). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Niepert, M., Meilicke, C. and Stuckenschmidt, H. (2012). Towards Distributed MCMC Inference in Probabilistic Knowledge Bases. In , Joint Workshop on Automatic Knowledge Base Construction and Web-Scale 2012 : (AKBC-WEKEX 2012) ; held at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2012) (S. 1–6). Proceedings of the NAACL-HLT Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, Curran: Red Hook, NY.
• Stuckenschmidt, H., Noessner, J. and Fallahi, F. (2012). A Study in User-Centric Data Integration (Best Paper Award). In , Proceedings of the 14th International Conference on Enterprise Information Systems (S. 5–14). , SciTePress: Setubal, Portugal .
• Stuckenschmidt, H. and Zirn, C. (2012). Multi-dimensional Analysis of Political Documents. In , Natural Language Processing and Information Systems : 17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012, Groningen, The Netherlands, June 26–28, 2012. Proceedings (S. 11–22). Lecture Notes in Computer Science, Springer: Berlin [u. a.].

2011

• Euzenat, J., Ferrara, A., van Hage, W., Hollink, L., Meilicke, C., Nikolov, A., Scharffe, F., Shvaiko, P., Stuckenschmidt, H., Svab-Zamazal, O. and Trojahn, C. (2011). Results of the Ontology Alignment Evaluation Initiative 2011 (Final). In , OM 2011 : Proceedings of the 6th International Workshop on Ontology Matching, In conjunction with the International Semantic Web Conference (ISWC2011) Bonn, Germany, October 24, 2011 (S. Paper 0). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Ferrara, A., Montanelli, S., Noessner, J. and Stuckenschmidt, H. (2011). Benchmarking Matching Applications on the Semantic Web. In , The Semanic Web: Research and Applications : 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, May 29 – June 2, 2011, Proceedings, Part II (S. 108–122). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Helaoui, R., Niepert, M. and Stuckenschmidt, H. (2011). Recognizing Interleaved and Concurrent Activities: A Statistical-Relational Approach. In , 2011 IEEE International Conference on Pervasive Computing and Communications : proceedings (S. 1–9). , IEEE Press: New York, NY [u. a.].
• Niepert, M., Noessner, J., Meilicke, C. and Stuckenschmidt, H. (2011). Probabilistic-Logical Web Data Integration. In , Reasoning Web. Semantic Technologies for the Web of Data : 7th International Summer School 2011, Galway, Ireland, August 23–27, 2011, Tutorial Lectures (S. 504–533). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Niepert, M., Noessner, J. and Stuckenschmidt, H. (2011). Log-Linear Description Logics. In , Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI 11) (S. 2153-2158). , AAAI Press: Menlo Park, Calif..
• Noessner, J., Niepert, M. and Stuckenschmidt, H. (2011). Coherent Top-k Ontology Alignment for OWL EL. In , Scalable Uncertainty Management : 5th International Conference, SUM 2011, Dayton, OH, USA; proceedings (S. 415–427). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Schlicht, A. and Stuckenschmidt, H. (2011). MapResolve. In , Web Reasoning and Rule Systems : 5th International Conference, RR 2011, Galway, Ireland, August 29–30, 2011; Proceedings (S. 294–299). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Stuckenschmidt, H. (2011). A Little Logic Goes A Long Way. In , Description Logics : Proceedings of the 24th International Workshop on Description Logics (DL 2011), Barcelona, Spain, July 13–16, 2011 (S. Paper 3). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Zirn, C., Niepert, M., Stuckenschmidt, H. and Strube, M. (2011). Fine-Grained Sentiment Analysis with Structural Features. In , Proceedings of the 5th International Joint Conference on Natural Language Processing (S. 336–344). Proceedings of the 5th International Joint Conference on Natural Language Processing, Asian Federation of Natural Language Processing: Chiang Mai.

2010

• Eckert, K., Niepert, M., Niemann, C., Buckner, C., Allen, C. and Stuckenschmidt, H. (2010). Crowdsourcing the assembly of concept hierarchies. In , JCDL'10 : digital libraries : 10 years past, 10 years forward, a 2020 vision (S. 139–148). , ACM Press: New York, NY.
• Euzenat, J., Ferrara, A., Meilicke, C., Nikolov, A., Pane, J., Scharffe, F., Shvaiko, P., Stuckenschmidt, H., Svab-Zamazal, O., Svátek, V. and Trojahn, C. (2010). Results of the Ontology Alignment Evaluation Initiative 2010. In , OM-2010 : Proceedings of the 5th International Workshop on Ontology Matching (OM-2010) collocated with the 9th International Semantic Web Conference (ISWC-2010), Shanghai, China, November 7, 2010 (S. Paper 0). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Euzenat, J., Meilicke, C., Stuckenschmidt, H. and Trojahn, C. (2010). A web-based evaluation service for Ontology Matching. In , ISWC-2010 Posters&Demos : Proceedings of the ISWC 2010, Posters & Demonstrations Track: Collected Abstracts; Shanghai, China, November 9, 2010 (S. 93–96). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Fleischhacker, D. and Stuckenschmidt, H. (2010). A practical implementation of semantic precision and recall. In , 2010 International Conference on Complex, Intelligent and Software Intensive Systems : (CISIS 2010) ; Krakow, Poland, 15 – 18 February 2010 (S. 986–991). , IEEE Computer Soc.: Piscataway, NJ.
• Freitas, F., Candeias, Z. and Stuckenschmidt, H. (2010). A new usage for semantic technologies for e-government: checking official documents’ consistency. In , The proceedings of the 10th European Conference on eGovernment : National Centre for Taxation Studies and University of Limerick, Ireland, 17 – 18 June 2010 (S. 167–175). , Academic Publ.: Reading .
• Helaoui, R., Niepert, M. and Stuckenschmidt, H. (2010). A statistical-relational activity recognition framework for ambient assisted living systems. In , Ambient Intelligence and Future Trends – International Symposium on Ambient Intelligence (ISAmI 2010) : Guimarães, Portugal, 16–18 June 2010 (S. 247–254). Advances in Intelligent and Soft Computing, Springer: Berlin [u. a.].
• Knechtel, M. and Stuckenschmidt, H. (2010). Query-based access control for ontologies. In , Web Reasoning and Rule Systems : Fourth International Conference, RR 2010, Bressanone/Brixen, Italy, September 22–24, 2010; proceedings (S. 73–87). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Meusel, R., Niepert, M., Eckert, K. and Stuckenschmidt, H. (2010). Thesaurus extension using web search engines. In , The Role of Digital Libraries in a Time of Global Change : 12th International Conference on Asia-Pacific Digital Libraries, ICADL 2010, Gold Coast, Australia, June 21–25, 2010; proceedings (S. 198–207). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Niepert, M., Meilicke, C. and Stuckenschmidt, H. (2010). A probabilistic-logical framework for ontology matching. In , Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence and the Twenty-Second Innovative Applications of Artificial Intelligence Conference : 11 – 15 July 2010, Atlanta, Georgia, USA (S. 1413-1418). , AAAI Press: Menlo Park, CA.
• Noessner, J., Niepert, M., Meilicke, C. and Stuckenschmidt, H. (2010). Leveraging terminological structure for object reconciliation. In , The Semantic Web: Research and Applications : 7th Extended Semantic Web Conference, ESWC 2010, Heraklion, Crete, Greece, May 30 – June 3, 2010, Proceedings, Part II (S. 334–348). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
• Nowakowski, P. and Stuckenschmidt, H. (2010). Ontology-based product catalogues: An example implementation. In , Multikonferenz Wirtschaftsinformatik 2010 (S. 15–25). , Univ.-Verl.: Göttingen.
• Schmitt, N., Niepert, M. and Stuckenschmidt, H. (2010). BRAMBLE: A web-based framework for interactive RDF-graph visualisation. In , ISWC-2010 Posters&Demos : Proceedings of the ISWC 2010 Posters & Demonstrations Track: Collected Abstracts, Shanghai, China, November 9, 2010 (S. 89–92). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Schönfisch, J., Chen, W. and Stuckenschmidt, H. (2010). A purely logic-based approach to approximate matching of Semantic Web Services. In , SMR2 2010 : Proceedings of the 4th International Workshop on Service Matchmaking and Resource Retrieval in the Semantic Web (SMR2 2010) Workshop at the 9th International Semantic Web Conference – ISWC 2010 Workshops Vol. IV Shanghai, China, Nov. 8, 2010 (S. 37–52). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
• Stuckenschmidt, H., Ceri, S., Della Valle, E. and van Harmelen, F. (2010). Towards expressive stream reasoning. In , Semantic Challenges in Sensor Networks : Dagstuhl Seminar 10042 (S. 1–14). Dagstuhl Seminar Proceedings, Leibniz-Zentrum für Informatik: Wadern.
• Trojahn, C., Meilicke, C., Euzenat, J. and Stuckenschmidt, H. (2010). Automating OAEI campaigns (first report). In , IWEST 2010 : Proceedings of the International Workshop on Evaluation of Semantic Technologies (IWEST 2010) Workshop at the 9th International Semantic Web Conference (ISWC2010) – ISWC 2010 Workshops Volume III, Shanghai, China, November 8, 2010 (S. Paper 13). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.

2019

• Benzmüller, C. and Stuckenschmidt, H. (eds.) (2019). KI 2019: Advances in Artificial Intelligence : 42nd German Conference on AI : Kassel, Germany, September 23–26, 2019 : proceedings. Berlin [u. a.]: Springer.

2018

• Gemulla, R., Ponzetto, S. P., Bizer, C., Keuper, M. and Stuckenschmidt, H. (eds.) (2018). LWDA 2018 : Proceedings of the Conference “Lernen, Wissen, Daten, Analysen”, Mannheim, Germany, August 22–24, 2018. Aachen, Germany: RWTH Aachen.

2017

• Bridge, D. and Stuckenschmidt, H. (eds.) (2017). E-commerce and web technologies : 17th international conference, EC-Web 2016, Porto, Portugal, September 5–8, 2016 : revised selected papers. Berlin [u. a.]: Springer.

2015

• Stuckenschmidt, H. and Jannach, D. (eds.) (2015). E-Commerce and Web Technologies : 16th International Conference on Electronic Commerce and Web Technologies, EC-Web 2015, Valencia, Spain, September 2015, Revised Selected Papers. Berlin [u. a.]: Springer.

2012

• Teije, A., Völker, J., Handschuh, S., Stuckenschmidt, H., d'Acquin, M., Nikolov, A., Aussenac-Gilles, N. and Hernandez, N. (eds.) (2012). Knowledge Engineering and Knowledge Management : 18th International Conference, EKAW 2012, Galway City, Ireland, October 8–12, 2012. Proceedings. Berlin [u. a.]: Springer.
• Shvaiko, P., Euzenat, J., Kementsietsidis, A., Mao, M., Noy, N. and Stuckenschmidt, H. (2012). OM-2012: Proceedings of the 7th International Workshop on Ontology Matching (OM-2012) collocated with the 11th International Semantic Web Conference (ISWC-2012), Boston, MA, USA, November 11, 2012. Aachen, Germany: RWTH Aachen.

2011

• Stuckenschmidt, H. (2011). Ontologien : Konzepte, Technologien und Anwendungen. Heidelberg: Springer.

2010

• Shvaiko, P., Euzenat, J., Giunchiglia, F., Stuckenschmidt, H., Mao, M. and Cruz, I. (eds.) (2010). OM-2010: Proceedings of the 5th International Workshop on Ontology Matching (OM-2010) collocated with the 9th International Semantic Web Conference (ISWC-2010), Shanghai, China, November 7, 2010. Aachen, Germany: RWTH Aachen.
• Aroyo, L., Antoniou, G., Hyvönen, E., Stuckenschmidt, H., Cabral, L. and Tudorache, T. (eds.) (2010). The semantic web: research and applications : 7th Extended Semantic Web Conference, ESWC 2010, Heraklion, Crete, Greece, May 30 – June 3, 2010 : proceedings. Part 1. Berlin [u. a.]: Springer.
• Aroyo, L., Antoniou, G., Hyvönen, E., Stuckenschmidt, H., Cabral, L. and Tudorache, T. (eds.) (2010). The semantic web: research and applications : 7th Extended Semantic Web Conference, ESWC 2010, Heraklion, Crete, Greece, May 30 – June 3, 2010 : proceedings. Part 2. Berlin [u. a.]: Springer.

2024

• Kappenberger, J. and Stuckenschmidt, H. (2024). A framework for human-centered AI-based public policies. In Human-centered AI: A multidisciplinary perspective for policy-makers, auditors, and users (S. 287–303). Boca Raton: CRC Press.

2022

• Spreitzenbarth, J., Stuckenschmidt, H. and Bode, C. (2022). The state of artificial intelligence: Procurement versus sales and marketing. In Supply management research: Aktuelle Forschungsergebniss 2022 (S. 173–193). Wiesbaden: Springer Gabler.

2017

• Wessler, H., Theil, C. K., Stuckenschmidt, H., Storrer, A. and Debus, M. (2017). 'Wikiganda' : detecting bias in multimodal Wikipedia entries. In New studies in multimodality : conceptual and methodological elaborations (S. 201–224). London: Bloomsbury Publishing PLC.

2016

• Sztyler, T., Carmona, J., Völker, J. and Stuckenschmidt, H. (2016). Self-tracking reloaded : applying process mining to personalized health care from labeled sensor data. In Transactions on Petri nets and other models of concurrency XI (S. 160–180). Berlin [u. a.]: Springer.

2011

• Eckert, K., Meusel, R. and Stuckenschmidt, H. (2011). User-centered maintenance of concept hierarchies. In Ontology learning and knowledge discovery using the web : challenges and recent advances (S. 105–128). Hershey, PA: Information Science Reference.
• Euzenat, J., Meilicke, C., Stuckenschmidt, H., Shvaiko, P. and Trojahn, C. (2011). Ontology Alignment Evaluation Initiative: six years of experience. In Journal on Data Semantics XV (S. 158–192). Berlin [u. a.]: Springer.