Dr. Melisachew Wudage Chekol

Postdoctoral Researcher

mel (at) informatik.uni-mannheim.de

B6, 26, Room C 1.12
Phone: +49 (0) 621 / 181-3786

Office hours: By appointment only.

Research

  • Probabilistic inference
  • Knowledge Representation
  • Semantic Web
  • Probabilistic Description Logics

Selected Publications

  • 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.
  • 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.
  • 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.
  • Leblay, J. and Chekol, M. W. (2018). Deriving validity time in knowledge graph. In , WWW '18 : Companion Proceedings of the The Web Conference 2018 : Lyon, France, April 23 – 27, 2018 (S. 1771-1776). , ACM Digital Library: New York, NY.
  • Chekol, M. (2017). Scaling probabilistic temporal query evaluation. In , Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 – 10, 2017 (S. 697–706). , ACM: New York, NY.
  • 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.
  • 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.].
  • Chekol, M. (2016). On the containment of SPARQL queries under entailment regimes. In , Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence and the Twenty-Eighth Innovative Applications of Artificial Intelligence Conference, February 12–17, 2016, Phoenix, Arizona, USA (S. 936–942). , AAAI Press: Palo Alto, Calif..
  • 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 Pirrò, G. (2016). Containment of expressive SPARQL navigational queries. In , The Semantic Web – ISWC 2016 : 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I (S. 86–101). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
  • 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.
  • 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.
  • 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.