Lebenslauf

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

 

Research Interests

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

Zitate

Genet Asefa Gesese ∂ Google Scholar
Genet Asefa Gesese ∂ DBLP
Genet Asefa Gesese ∂Scopus

Publikationen


2023
Leveraging literals for knowledge graph embeddings. Dissertation
Gesese, G. A.
2023, August 4. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161136
2022
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs
Gesese, G. A.; Sack, H.; Alam, M.
2022. Proceedings of the 11th International Joint Conference on Knowledge Graphs. 11th International Joint Conference on Knowledge Graphs (IJCKG 2022) Online, 27.10.2022–29.10.2022, 82–90, Association for Computing Machinery (ACM). doi:10.1145/3579051.3579066
A knowledge graph embeddings based approach for author name disambiguation using literals
Santini, C.; Gesese, G. A.; Peroni, S.; Gangemi, A.; Sack, H.; Alam, M.
2022. doi:10.48550/arXiv.2201.09555
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction
Gesese, G. A.; Sack, H.; Alam, M.
2022. Proc. International Joint Conference on Knowledge Graphs 2022 (IJCKG 2022), in cooperation with the 21. International Semantic Web Conference (ISWC 2022)
A knowledge graph embeddings based approach for author name disambiguation using literals
Santini, C.; Gesese, G. A.; Peroni, S.; Gangemi, A.; Sack, H.; Alam, M.
2022. Scientometrics, 127 (8), 4887–4912. doi:10.1007/s11192-022-04426-2
2021
HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles
Alam, M.; Biswas, R.; Chen, Y.; Dessì, D.; Gesese, G. A.; Hoppe, F.; Sack, H.
2021. WWW ’21: The Web Conference 2021, 19th - 23rd April 2021, Ljubljana Slovenia, 436–440, Association for Computing Machinery (ACM). doi:10.1145/3442442.3451365
LiterallyWikidata - A Benchmark for Knowledge Graph Completion Using Literals
Gesese, G. A.; Alam, M.; Sack, H.
2021. The Semantic Web – ISWC 2021 – 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24–28, 2021, Proceedings. Ed.: A. Hotho, 511–527, Springer International Publishing. doi:10.1007/978-3-030-88361-4_30
Challenges of applying knowledge graph and their embeddings to a real-world use-case
Petzold, R.; Gesese, G. A.; Bogdanova, V.; Zylowski, T.; Sack, H.; Alam, M.
2021. Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021), co-located with the 20th International Semantic Web Conference (ISWC 2021): Virtual Conference, online, October 25, 2021. Ed.: M. Alam, CEUR-WS.org
Leveraging literals for knowledge graph embeddings
Gesese, G. A.
2021. Proceedings of the Doctoral Consortium at ISWC 2021, co-located with 20th International Semantic Web Conference (ISWC 2021). Ed.: V. Tamma, 9–16, CEUR-WS.org
Temporal Evolution of the Migration-related Topics on Social Media?
Chen, Y.; Gesese, G. A.; Sack, H.; Alam, M.
2021. S. J. E. L. Seneviratne O. Pesquita C. (Hrsg.), ISWC-Posters-Demos-Industry 2021, International Semantic Web Conference (ISWC) 2021: Posters, Demos, and Industry Tracks. Ed.: O. Seneviratne, Code 172525 (5 S.), RWTH Aachen
A survey on knowledge graph embeddings with literals: Which model links better literally?
Gesese, G. A.; Biswas, R.; Alam, M.; Sack, H.
2021. Semantic Web, 12 (4), 617–647. doi:10.3233/SW-200404
2020
Knowledge Graphs Evolution and Preservation – A Technical Report from ISWS 2019
Abbas, N.; Alghamdi, K.; Alinam, M.; Alloatti, F.; Amaral, G.; Claudia d’Amato; Asprino, L.; Beno, M.; Bensmann, F.; Biswas, R.; Cai, L.; Capshaw, R.; Carriero, V. A.; Celino, I.; Dadoun, A.; Giorgis, S. D.; Delva, H.; Domingue, J.; Dumontier, M.; Emonet, V.; Erp, M. van; Arias, P. E.; Fallatah, O.; Ferrada, S.; Ocaña, M. G.; Georgiou, M.; Gesese, G. A.; Gillis-Webber, F.; Giovannetti, F.; Buey, M. G.; Harrando, I.; Heibi, I.; Horta, V.; Huber, L.; Igne, F.; Jaradeh, M. Y.; Keshan, N.; Koleva, A.; Koteich, B.; Kurniawan, K.; Liu, M.; Ma, C.; Maas, L.; Mansfield, M.; Mariani, F.; Marzi, E.; Mesbah, S.; Mistry, M.; Tirado, A. C. M.; Nguyen, A.; Nguyen, V. B.; Oelen, A.; Pasqual, V.; Paulheim, H.; Polleres, A.; Porena, M.; Portisch, J.; Presutti, V.; Pustu-Iren, K.; Mendez, A. R.; Roshankish, S.; Rudolph, S.; Sack, H.; Sakor, A.; Salas, J.; Schleider, T.; Shi, M.; Spinaci, G.; Sun, C.; Tietz, T.; Dhouib, M. T.; Umbrico, A.; Berg, W. van den; Xu, W.
2020
Leveraging multilingual descriptions for link prediction: Initial experiments
Gesese, G. A.; Alam, M.; Hoppe, F.; Sack, H.
2020. CEUR workshop proceedings, 2721, 84–88
Migranalytics: Entity-based analytics of migration tweets
Alam, M.; Gesese, G. A.; Rezaie, Z.; Sack, H.
2020. CEUR workshop proceedings, 2721, 74–78
Semantic entity enrichment by leveraging multilingual descriptions for link prediction
Gesese, G. A.; Alam, M.; Sack, H.
2020. Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020), co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020), Heraklion, Greece, June 02, 2020 - moved online. Ed.: M. Alam, RWTH Aachen
2019
A comprehensive survey of knowledge graph embeddings with literals: Techniques and applications
Gesese, G. A.; Biswas, R.; Sack, H.
2019. 2019 Workshop on Deep Learning for Knowledge Graphs, (DL4KG 2019) Portoroz, Slovenia. Ed.: F. Osborne, 31–40, RWTH Aachen