DBkWik++ -- Multi Source Matching of Knowledge Graphs
October 06, 2022 Β· Declared Dead Β· π Iberoamerican Conference on Knowledge Graphs and Semantic Web
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Authors
Sven Hertling, Heiko Paulheim
arXiv ID
2210.02864
Category
cs.IR: Information Retrieval
Citations
1
Venue
Iberoamerican Conference on Knowledge Graphs and Semantic Web
Last Checked
4 months ago
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.
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