Підписатись
Daniel Obraczka
Daniel Obraczka
Scads.AI/Leipzig University
Підтверджена електронна адреса в informatik.uni-leipzig.de - Домашня сторінка
Назва
Посилання
Посилання
Рік
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
282019
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
262021
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
D Obraczka, J Schuchart, E Rahm
arXiv preprint arXiv:2101.06126, 2021
142021
Knowledge graph completion with FAMER
D Obraczka, A Saeedi, E Rahm
Proc. DI2KG, 2019
122019
Construction of knowledge graphs: State and challenges
M Hofer, D Obraczka, A Saeedi, H Köpcke, E Rahm
arXiv preprint arXiv:2302.11509, 2023
102023
Embedding-assisted entity resolution for knowledge graphs
D Obraczka, J Schuchart, E Rahm
Second International Workshop on Knowledge Graph Construction, 2021
92021
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
52019
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs
D Obraczka, E Rahm
SN Computer Science 3 (6), 501, 2022
12022
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
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
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
2023
Correction to: Dragon: Decision Tree Learning for Link Discovery
D Obraczka, ACN Ngomo
Web Engineering: 19th International Conference, ICWE 2019, Daejeon, South …, 2019
2019
Construction of Knowledge Graphs: Current State and Challenges
M Hofer, D Obraczka, A Saeedi, H Köpcke, E Rahm
Available at SSRN 4605059, 0
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
J Schuchart, D Obraczka
У даний момент система не може виконати операцію. Спробуйте пізніше.
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