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Daniel Obraczka
Daniel Obraczka
Scads.AI and Leipzig University
在 informatik.uni-leipzig.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Construction of Knowledge Graphs: Current State and Challenges
M Hofer, D Obraczka, A Saeedi, H Köpcke, E Rahm
Information 15 (8), 509, 2024
50*2024
LIMES: A Framework for Link Discovery on the Semantic Web
AC Ngonga Ngomo, MA Sherif, K Georgala, MM Hassan, K Dreßler, ...
KI-Künstliche Intelligenz, 1-11, 2021
322021
DBpedia FlexiFusion the best of Wikipedia> Wikidata> your data
J Frey, M Hofer, D Obraczka, J Lehmann, S Hellmann
The Semantic Web–ISWC 2019: 18th International Semantic Web Conference …, 2019
302019
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
D Obraczka, J Schuchart, E Rahm
arXiv preprint arXiv:2101.06126, 2021
192021
Embedding-assisted entity resolution for knowledge graphs
D Obraczka, J Schuchart, E Rahm
Second International Workshop on Knowledge Graph Construction, 2021
152021
Knowledge graph completion with FAMER
D Obraczka, A Saeedi, E Rahm
Proc. DI2KG, 2019
142019
Dynamic planning for link discovery
K Georgala, D Obraczka, AC Ngonga Ngomo
The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete …, 2018
72018
Dragon: Decision Tree Learning for Link Discovery
D Obraczka, ACN Ngomo
Web Engineering: 19th International Conference, ICWE 2019, Daejeon, South …, 2019
62019
Knowledge Graph Completion with FAMER (DI2KG Challenge Winner).
D Obraczka, A Saeedi, E Rahm
DI2KG@ KDD, 2019
52019
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs
D Obraczka, E Rahm
SN Computer Science 3 (6), 501, 2022
32022
Big Data Integration for Industry 4.0
D Obraczka, A Saeedi, V Christen, E Rahm
Digital Transformation: Core Technologies and Emerging Topics from a …, 2023
12023
An Evaluation of Hubness Reduction Methods for Entity Alignment with Knowledge Graph Embeddings.
D Obraczka, E Rahm
KEOD, 28-39, 2021
12021
Active learning of link specifications using decision tree learning
D Obraczka
UNIVERSITY OF LEIPZIG, 2017
12017
Using Machine Learning for Link Discovery on the Web of Data
ACN Ngomo, D Obraczka, K Georgala
Demos at the European Conference on Artificial Intelligence, 2016
12016
Comparing Symbolic and Embedding-Based Approaches for Relational Blocking
D Obraczka, E Rahm
Knowledge Engineering and Knowledge Management: 24th International …, 2024
2024
Graph-based Active Learning for Entity Cluster Repair
V Christen, D Obraczka, M Hofer, M Franke, E Rahm
arXiv preprint arXiv:2401.14992, 2024
2024
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
J Schuchart, D Obraczka
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