Daniel Obraczka

According to our database, Daniel Obraczka authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph-based Active Learning for Entity Cluster Repair.

Victor Christen, Daniel Obraczka, Marvin Hofer, Martin Franke, Erhard Rahm

CoRR, 2024

2023

Construction of Knowledge Graphs: State and Challenges.

Marvin Hofer, Daniel Obraczka, Alieh Saeedi, Hanna Köpcke, Erhard Rahm

CoRR, 2023

2022

Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs.

Daniel Obraczka, Erhard Rahm

SN Comput. Sci., 2022

Big Data Integration for Industry 4.0.

Daniel Obraczka, Alieh Saeedi, Victor Christen, Erhard Rahm

Proceedings of the Digital Transformation, 2022

2021

LIMES: A Framework for Link Discovery on the Semantic Web.

Axel-Cyrille Ngonga Ngomo, Mohamed Ahmed Sherif, Kleanthi Georgala, Mofeed Mohamed Hassan, Kevin Dreßler, Klaus Lyko, Daniel Obraczka, Tommaso Soru

Künstliche Intell., 2021

EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs.

Daniel Obraczka, Jonathan Schuchart, Erhard Rahm

CoRR, 2021

An Evaluation of Hubness Reduction Methods for Entity Alignment with Knowledge Graph Embeddings.

Daniel Obraczka, Erhard Rahm

Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021

Embedding-Assisted Entity Resolution for Knowledge Graphs.

Daniel Obraczka, Jonathan Schuchart, Erhard Rahm

Proceedings of the 2nd International Workshop on Knowledge Graph Construction co-located with 18th Extended Semantic Web Conference (ESWC 2021), 2021

2019

DBpedia FlexiFusion the Best of Wikipedia > Wikidata > Your Data.

Johannes Frey, Marvin Hofer, Daniel Obraczka, Jens Lehmann, Sebastian Hellmann

Proceedings of the Semantic Web - ISWC 2019, 2019

Knowledge Graph Completion with FAMER (DI2KG Challenge Winner).

Daniel Obraczka, Alieh Saeedi, Erhard Rahm

Proceedings of the 1st International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), 2019

Dragon: Decision Tree Learning for Link Discovery.

Daniel Obraczka, Axel-Cyrille Ngonga Ngomo

Proceedings of the Web Engineering - 19th International Conference, 2019

2018

Dynamic Planning for Link Discovery.

Kleanthi Georgala, Daniel Obraczka, Axel-Cyrille Ngonga Ngomo

Proceedings of the Semantic Web - 15th International Conference, 2018