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Recent publications
Privacy-Preserving Stress Detection Using Smartwatch Health Data
Privacy-Preserving Sentiment Analysis on Twitter
Using Differential Equation Inspired Machine Learning for Valve Faults Prediction
Privacy at Risk: Exploiting Similarities in Health Data for Identity Inference
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D. Obraczka's Publications (11)
Hofer, M.
;
Obraczka, D.
;
Saeedi, A.
;
Köpcke, H.
;
Rahm, E.
Construction of Knowledge Graphs: State and Challenges
2023-02
Obraczka, D.
;
Rahm, E.
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs
Springer Nature Computer Science Journal
2022-10
-01
Obraczka, Daniel
;
Saeedi, Alieh
;
Christen, Victor
;
Rahm, Erhard
Big Data Integration for Industry 4.0
Digital Transformation
2022
Obraczka, 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
Obraczka, Daniel
;
Schuchart, Jonathan
;
Rahm, Erhard
Embedding-Assisted Entity Resolution for Knowledge Graphs
Proc. ESWC workshop on Knowledge Graph Construction (KGCW), 2021
2021-06
Ngonga
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
Obraczka, Daniel
;
Schuchart, Jonathan
;
Rahm, Erhard
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
Arxiv
2021-01
Frey, J.
;
Hofer, M.
;
Obraczka, D.
;
Lehmann, J.
;
Hellmann, S.
DBpedia FlexiFusion The Best of Wikipedia>Wikidata>Your Data
ISWC 2019
2019-10
Obraczka, 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
Obraczka, Daniel
; Ngonga
Ngomo, Axel-Cyrille
Dragon: Decision Tree Learning for Link Discovery
Web Engineering
2019
Georgala, K.
;
Obraczka, D.
; Ngonga
Ngomo, A.
Dynamic Planning for Link Discovery
The Semantic Web, ESWC 2018, Lecture Notes in Computer Science
2018