DBkWik++ -- Multi Source Matching of Knowledge Graphs
Information Retrieval
2022-10-07 v1
Abstract
Large knowledge graphs like DBpedia and YAGO are always based on the same source, i.e., Wikipedia. But there are more wikis that contain information about long-tail entities such as wiki hosting platforms like Fandom. In this paper, we present the approach and analysis of DBkWik++, a fused Knowledge Graph from thousands of wikis. A modified version of the DBpedia framework is applied to each wiki which results in many isolated Knowledge Graphs. With an incremental merge based approach, we reuse one-to-one matching systems to solve the multi source KG matching task. Based on this alignment we create a consolidated knowledge graph with more than 15 million instances.
Keywords
Cite
@article{arxiv.2210.02864,
title = {DBkWik++ -- Multi Source Matching of Knowledge Graphs},
author = {Sven Hertling and Heiko Paulheim},
journal= {arXiv preprint arXiv:2210.02864},
year = {2022}
}
Comments
Published at KGSWC 2022