Lebenslauf und Publikationen Dr.-Ing. Genet Asefa Gesese

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

Publikationen

Zitate

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

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)]

Technical Reports

zurück zur Seite Information Service Engineering

""
Kontakt

Dr.-Ing. Genet Asefa Gesese

Wissenschaftliche Mitarbeiterin, Information Service Engineering
Tel.:
+49 7247 808 186
+49 7247 808 186
genet-asefa.gesese [at] fiz-karlsruhe.de