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2020 – today
- 2024
[j3]Marvin Hofer
, Daniel Obraczka, Alieh Saeedi, Hanna Köpcke, Erhard Rahm:
Construction of Knowledge Graphs: Current State and Challenges. Inf. 15(8): 509 (2024)- [i3]Victor Christen, Daniel Obraczka, Marvin Hofer, Martin Franke, Erhard Rahm:
Graph-based Active Learning for Entity Cluster Repair. CoRR abs/2401.14992 (2024) - 2023
- [i2]Marvin Hofer, Daniel Obraczka, Alieh Saeedi, Hanna Köpcke, Erhard Rahm:
Construction of Knowledge Graphs: State and Challenges. CoRR abs/2302.11509 (2023) - 2022
- [j2]Daniel Obraczka, Erhard Rahm:
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs. SN Comput. Sci. 3(6): 501 (2022) - [p1]Daniel Obraczka, Alieh Saeedi, Victor Christen, Erhard Rahm:
Big Data Integration for Industry 4.0. Digital Transformation 2022: 247-268 - [d3]Daniel Obraczka, Max Berrendorf, Charles Tapley Hoyt, Michael Galkin, Erhard Rahm:
Benchmark Datasets for Inductive Entity Alignment. Version v0.1.0. Zenodo, 2022 [all versions]
- [d2]Daniel Obraczka, Max Berrendorf, Charles Tapley Hoyt, Michael Galkin, Erhard Rahm:
Benchmark Datasets for Inductive Entity Alignment. Version v0.1.1. Zenodo, 2022 [all versions] - [d1]Daniel Obraczka, Erhard Rahm:
Kiez Benchmarking Knowledge Graph Embeddings. Zenodo, 2022 - 2021
- [j1]Axel-Cyrille Ngonga Ngomo, Mohamed Ahmed Sherif, Kleanthi Georgala, Mofeed Mohamed Hassan, Kevin Dreßler, Klaus Lyko, Daniel Obraczka, Tommaso Soru:
LIMES: A Framework for Link Discovery on the Semantic Web. Künstliche Intell. 35(3): 413-423 (2021) - [c6]Daniel Obraczka, Jonathan Schuchart, Erhard Rahm:
Embedding-Assisted Entity Resolution for Knowledge Graphs. KGCW@ESWC 2021 - [c5]Daniel Obraczka, Erhard Rahm:
An Evaluation of Hubness Reduction Methods for Entity Alignment with Knowledge Graph Embeddings. KEOD 2021: 28-39 - [i1]Daniel Obraczka, Jonathan Schuchart, Erhard Rahm:
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs. CoRR abs/2101.06126 (2021)
2010 – 2019
- 2019
- [c4]Daniel Obraczka, Axel-Cyrille Ngonga Ngomo:
Dragon: Decision Tree Learning for Link Discovery. ICWE 2019: 441-456 - [c3]Daniel Obraczka, Alieh Saeedi, Erhard Rahm:
Knowledge Graph Completion with FAMER (DI2KG Challenge Winner). DI2KG@KDD 2019 - [c2]Johannes Frey, Marvin Hofer, Daniel Obraczka, Jens Lehmann, Sebastian Hellmann:
DBpedia FlexiFusion the Best of Wikipedia > Wikidata > Your Data. ISWC (2) 2019: 96-112 - 2018
- [c1]Kleanthi Georgala, Daniel Obraczka, Axel-Cyrille Ngonga Ngomo:
Dynamic Planning for Link Discovery. ESWC 2018: 240-255
Coauthor Index
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last updated on 2024-10-09 20:32 CEST by the dblp team
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