German English

Daniel Obraczka

obraczka

About

  • Since 2018 Researcher at ScaDS
  • Master of Science (Computer Science), University of Leipzig, October 2018
  • 2015 - 2018 Student Researcher at AKSW

Contact

  • E-Mail: obraczka at informatik.uni-leipzig.de
  • Tel.: +49 341 97 39516

Research Interests

  • Knowledge Graphs
  • (Knowledge Graph) Embeddings
  • Data Integration
  • Machine Learning (especially for everything mentioned above)

PC Member

  • DI2KG 2020

Selected Talks

Publications


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Google Scholar
publication iconHofer, M.; Obraczka, D.; Saeedi, A.; Köpcke, H.; Rahm, E.
Construction of Knowledge Graphs: State and Challenges

2023-02
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further information
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publication iconObraczka, D.; Rahm, E.
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs
Springer Nature Computer Science Journal
2022-10-01
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further information
Google Scholar
publication iconObraczka, Daniel;Saeedi, Alieh;Christen, Victor;Rahm, Erhard
Big Data Integration for Industry 4.0
Digital Transformation
2022
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further information
Google Scholar
publication iconObraczka, Daniel; Rahm, Erhard
An Evaluation of Hubness Reduction Methods for Entity Alignment with Knowledge Graph Embeddings
Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (Best Student Paper Candidate)
2021-10
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further information
Google Scholar
publication iconObraczka, Daniel; Schuchart, Jonathan; Rahm, Erhard
Embedding-Assisted Entity Resolution for Knowledge Graphs
Proc. ESWC workshop on Knowledge Graph Construction (KGCW), 2021
2021-06

further information
Google Scholar
publication iconNgonga Ngomo, Axel-Cyrille;Sherif, Mohamed Ahmed; Georgala, Kleanthi; Hassan, Mofeed;Dreßler, Kevin;Lyko, Klaus;Obraczka, Daniel;Soru, Tommaso
LIMES: A Framework for Link Discovery on the Semantic Web
KI - Künstliche Intelligenz, German Journal of Artificial Intelligence - Organ des Fachbereichs “Künstliche Intelligenz” der Gesellschaft für Informatik e.V.
2021-04-17
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Google Scholar
Obraczka, Daniel; Schuchart, Jonathan; Rahm, Erhard
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
Arxiv
2021-01
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Google Scholar
publication iconFrey, J.; Hofer, M.; Obraczka, D.; Lehmann, J.; Hellmann, S.
DBpedia FlexiFusion The Best of Wikipedia>Wikidata>Your Data
ISWC 2019
2019-10
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further information
Google Scholar
publication iconObraczka, D.; Saeedi, A.; Rahm, E.
Knowledge Graph Completion with FAMER
Proc. KDD workshop on Data Integration to Knowledge Graphs (DI2KG) (DI2KG Challenge Winner)
2019-08
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further information
Google Scholar
publication iconObraczka, Daniel; Ngonga Ngomo, Axel-Cyrille
Dragon: Decision Tree Learning for Link Discovery
Web Engineering
2019
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further information
Google Scholar
publication iconGeorgala, K.; Obraczka, D.; Ngonga Ngomo, A.
Dynamic Planning for Link Discovery
The Semantic Web, ESWC 2018, Lecture Notes in Computer Science
2018

Supervised Theses

TitelAutorYearTypeNotes
Link Prediction als Möglichkeit zur automatisierten PersonaleinsatzplanungSteven Lehmann2023M.Sc.
Scalable and Accurate Decision Tree Learning for Entity ResolutionDuong Trung Duong2022M.Sc.
Standzeitvorhersage innerhalb eines FahrradverleihsystemsJonathan Weske2022B.Sc.Kooperation mit Nextbike
TF-IDF for Entity Resolution in Huge Knowledge GraphsTinsaye Abye2021B.Sc