Lebenslauf und Publikationen Dr.-Ing. Genet Asefa Gesese

Education

• 2018 - 2023: PhD Student/Junior Researcher, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure and Karlsruhe Institute of Technology (KIT), Institute of Applied Informatics and Formal Description Methods (AIFB)
• 2015 - 2018: European Masters in Computational Logic(EMCL), Dresden University of Technology Dresden, Germany
• 2010 - 2013: MSc. in Computer Science, Addis Ababa University Addis Ababa, Ethiopia
• 2006 - 2009: Bachelor of Science in Computer Science, Hawassa University, Hawassa, Ethiopia

Master’s thesis

• EMCL: Genet Asefa Gesese: Topic Detection and Labeling for Online Meetings and Webinars, 2018.
  Supervisors: Dr. Daniel Esser and Dr. Thomas Springer, [local copy (PDF)]
  Supervising professor: Prof. Dr. rer. nat. habil. Dr. h. c. Alexander Schill
• MSc in computer science: Genet Asefa Gesese: Ontology-based Semantic Indexing for Amharic Text in Football Domain, 2013.
  Advisor: Dr. Fekade Getahun, [local copy (PDF)]

Experience

• 2013 - 2015: Lecturer, Addis Ababa Science and Technology University, Ethiopia
• 2009 - 2010: Graduate Assistant, Hawassa University, Ethiopia

• Natural Language Processing
• Semantic Web
• Machine Learning
• Knowledge Graph

Zitate

Genet Asefa Gesese @ Google Scholar
Genet Asefa Gesese @ DBLP
Genet Asefa Gesese @Scopus

2025

• Gesese, G.A., Chen, Z., Zoubia, O., Limani, F., Silva, K., Suryani, M.A., Zapilko, B., Castro, L.J., Kutafina, E., Solanki, D., Fliegl, H., Schimmler, S., Boukhers, Z. and Sack, H., 2025. A Survey on Metadata for Machine Learning Models and Datasets: Standards, Practices, and Harmonization Challenges. In CEUR Workshop Proceedings (Vol. 4065). https://ceur-ws.org/Vol-4065/paper05.pdf [bibTeX]
• Silva, K., Ackermann, M.R., Fliegl, H., Gesese, G.A., Limani, F., Mayr, P., Mutschke, P., Oelen, A., Suryani, M.A., Upadhyaya, S., Zapilko, B., Sack, H. and Dietze, S. 2025. Research Knowledge Graphs in NFDI4DataScience: Key Activities, Achievements, and Future Directions. arXiv preprint arXiv:2508.02300. [bibTeX]
• Ahmad, R.A., Abdulla, R., Taffa, T.A., Auer, S., Giglou, H.B., Borisova, E., Chen, Z., Dietze, S., DSouza, J., Elwes, M. and Gesese, G.A., Jiang, S., Kutafina, E., Mayr, P., Rehm, G., Sadruddin, S., Schimmler, S., Schneider, D., Silva, K., Upadhyaya, S. and Usbeck, R., 2025. NFDI4DS Shared Tasks for Scholarly Document Processing. arXiv preprint arXiv:2509.22141.  [bibTeX]
• A. Jacyszyn, S. Jiang, G. A. Gesese, S. Hertling, T. Kerzenmacher, P. Nowack, S. Barthlott, E. Posthumus, H. Sack, AI4DiTraRe: Towards LLM-Based Information Extraction for Standardising Climate Research Repositories. First AAAI Bridge on Artificial Intelligence for Scholarly Communication AI4SC; co-located with the 39th AAAI Conference on Artificial Intelligence (AAAI-25) (AI4SC), Philadelphia, Pennsylvania, USA. CC-BY 4.0, 2025 DOI: 10.5281/zenodo.14872359, hal-04957799 [local copy(pdf)|bibtex]
• Gesese, G. A., Sack, H., Paulheim, H., Meroño-Peñuela, A., Chen, L.: Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK 2025) @COLING2025, Int. Committee on Computational Linguistics (ICCL), CC-BY-4.0, 2025 [local copy(pdf)|bibtex]

2024

• M. Gaur, E. Tsamoura, E. Raff, N. Vedula, S. Parthasarathy, G-Genet Asefa Gesese, M. Alam, D. Buscaldi, M. Cochez, F. Osborne, D. Reforgiato Recupero (Eds.), Joint Proceedings of the Workshop on Knowledge-infused Learning (KIL 2024) and the workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG 2024) co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), CEUR-WS.org, vol. 3894, online: https://ceur-ws.org/Vol-3894/ [bibtex]
• M. Li, H. Yang, Z. Liu, M.M. Alam, E. Norouzi, H. Sack and G.A. Gesese, 2024. KGMistral: Towards Boosting the Performance of Large Language Models for Question Answering with Knowledge Graph Integration. In Joint Proceedings of the Workshop on Knowledge-infused Learning (KIL 2024) and the workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG 2024) co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), CEUR-WS.org, vol. 3894, online: https://ceur-ws.org/Vol-3894/ [local copy (PDF)|bibtex].
• M. Alam, G. A. Gesese and P. H. Paris (2024). Neurosymbolic Methods for Dynamic Knowledge Graphs. arXiv preprint arXiv:2409.04572.
• M. Alam, D. Buscaldi, M. Cochez, G. A. Gesese, F. Osborne  and D. Reforgiato Recupero, 2024, August. Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 6704-6705).
• G. A. Gesese, J. Waitelonis, Z. Chen, S. Schimmler, H. Sack, NFDI4DSO: Towards a BFO Compliant Ontology for Data Science, in Proc. of 20th Int. Conf. on Semantic Systems (SEMANTICS 2024), poster & demo track [local copy(PDF)|bibtex]

2022

• Gesese, G. A., Sack, H., Alam, M.: RAILD: Towards Leveraging Relation Features for Inductive Link Prediction. In Proc. International Joint Conference on Knowledge Graphs 2022 (IJCKG 2022), in cooperation with the 21. International Semantic Web Conference (ISWC 2022)  [local copy (PDF)].
• Santini, C., Gesese, G. A., Peroni, S., Gangemi, A., Sack, H., & Alam, M.: A Knowledge Graph Embeddings based Approach for Author Name Disambiguation using Literals. Scientometrics, Vol. 127 (8), 2022, pp. 4887–4912. DOI: https://doi.org/10.1007/s11192-022-04426-2, [local copy (PDF) | (BibTeX)].

2021

• R. Petzold, G. A. Gesese, V. Bogdanova, T. Zylowski, H. Sack, M. Alam: Challenges of Applying Knowledge Graph and their Embeddings to a Real-world Use-case, In: Proc. of DL4KG workshop, co-located with the 20th International Semantic Web Conference (ISWC 2021), CEUR workshop proceedings, vol. 3034, CEUR-WS.org, online at http://ceur-ws.org/Vol-3034/ [local copy (PDF) | (BibTeX)]
• Y. Chen, G. A. Gesese, H. Sack, M. Alam: Temporal Evolution of the Migration-related Topics on Social Media, In Proc. of the ISWC 2021 Posters and Demos Track, co-located with the 20th International Semantic Web Conference (ISWC 2021), CEUR Workshop Proceedings, vol. 2980, CEUR-WS.org, online at: https://ceur-ws.org/Vol-2980/paper375.pdf, [local copy (PDF), citation (bibtex)]
• G. A. Gesese, M. Alam, H. Sack: LiterallyWikidata - A Benchmark for Knowledge Graph Completion using Literals, In: Proceedings of the ISWC 2021 Resource Track, co-located with the 20th International Semantic Web Conference (ISWC 2021) Lecture Notes in Computer Science, Vol. 12922, pp 511-527. DOI: https://doi.org/10.1007/978-3-030-88361-4_30 [local copy (PDF) | (BibTeX)].
• G. A. Gesese: Leveraging Literals for Knowledge Graph Embeddings. In Proc. of the 20th International Semantic Web Conference (ISWC 2021), Doctoral Consortium, CEUR workshop proceedings, Vol. 3005, pp. 9–16, CEUR-WS.org, online at http://ceur-ws.org/Vol-3005/, [local copy (PDF) | (BibTeX)].
• M. Alam, R. Biswas, Y. Chen, D. Dessì, G. A. Gesese, F. Hoppe, H. Sack: HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles. In Proc. of 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K 2021), co-located with The Web Conf 2021, Companion Proceedings of the Web Conference 2021 (pp. 436-440), online at https://dl.acm.org/doi/10.1145/3442442.3451365. [local copy (PDF)]

2020

• M. Alam, G. A. Gesese, Z. Rezaie, H. Sack: 
  MigrAnalytics: Entity-based Analytics of Migration Tweets, In: Proceedings of the ISWC 2020 Posters and Demos Track, co-located with 19th International Semantic Web Conference (ISWC 2020) ), CEUR workshop proceedings, Volume 2721, 74-79, CEUR-WS.org, online at http://ceur-ws.org/Vol-2721/paper514.pdf
• G. A. Gesese, F. Hoppe, M. Alam, H. Sack: G. A. Gesese, F. Hoppe, M. Alam, H. Sack:
  Leveraging Multilingual Descriptions for Link Prediction: Initial Experiments, In: Proceedings of the ISWC 2020 Posters and Demos Track, co-located with 19th International Semantic Web Conference (ISWC 2020) ), CEUR workshop proceedings, Volume 2721, 84-89, CEUR-WS.org, online at http://ceur-ws.org/Vol-2721/paper521.pdf
• G. A. Gesese, R. Biswas, M. Alam, H. Sack:
  A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?, Semantic Web Journal, 12(4), 2020, pp. 617-647. DOI: 10.3233/SW-200404 [local copy (PDF)].
• G. A. Gesese, M. Alam, H. Sack:
  Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction, In Proc. of DL4KG workshop co-located with ESWC 2020, CEUR workshop proceedings, vol. 2635, CEUR-WS.org, online at http://ceur-ws.org/Vol-2635/, [local copy (PDF)].

2019

• G. A. Gesese, R. Biswas, H. Sack:
  A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications, Workshop on Deep Learning for Knowledge Graphs (DL4KG), co-located with of the 16th Extended Semantic Web Conference (ESWC 2019), CEUR workshop proceedings, vol. 2377, pp. 31-40, CEUR-WS.org, online at http://ceur-ws.org/Vol-2377/), [local copy (PDF)].

2015

• F. Getahun, G. A. Gesese:
  Towards Amharic Semantic Search Engine, in Proceedings of the 7th International Conference on Management of computational and collective intelligence in Digital EcoSystems (MEDES '15), pp. 103-110, ACM New York, NY, USA 2015. https://dl.acm.org/citation.cfm?id=2857235, [local copy (PDF)]

Alam, M., Rospocher, M., van Erp, M., Hollink, L. and Gesese, G.A. Knowledge Engineering and Knowledge Management: 24th International Conference, EKAW 2024,  Lecture Notes in Computer Science LNCS, vol. 15370, Springer Cham, 2025 DOI: 10.1007/978-3-031-77792-9 [bibtex]

N. Abbas, K. Alghamdi, M. Alinam, F. Alloatti, G. Amaral, et al.: Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019. arXiv pre-prints, arXiv:2012.11936, 2020. [local copy (PDF)]

Mehwish Alam, Genet Asefa Gesese, and Pierre-Henri Paris. 
"Neurosymbolic Methods for Dynamic Knowledge Graphs." Handbook on Neurosymbolic Artificial Intelligence (2025).

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