2022/10/06 by Sven Hertling, Heiko Paulheim, Hertling, Sven +1
Chemistry · Computer Science · Social Sciences · #Advanced Graph Neural Networks #Asymmetric Hydrogenation and Catalysis #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Wikis in Education and Collaboration
paper · pdf · doi:10.48550/arxiv.2210.02864
openalex publication_date 2022/10/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.