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- Title
DBkWik: extracting and integrating knowledge from thousands of Wikis.
- Authors
Hertling, Sven; Paulheim, Heiko
- Abstract
Popular cross-domain knowledge graphs, such as DBpedia and YAGO, are built from Wikipedia, and therefore similar in coverage. In contrast, Wikifarms like Fandom contain Wikis for specific topics, which are often complementary to the information contained in Wikipedia, and thus DBpedia and YAGO. Extracting these Wikis with the DBpedia extraction framework is possible, but results in many isolated knowledge graphs. In this paper, we show how to create one consolidated knowledge graph, called DBkWik, from thousands of Wikis. We perform entity resolution and schema matching, and show that the resulting large-scale knowledge graph is complementary to DBpedia. Furthermore, we discuss the potential use of DBkWik as a benchmark for knowledge graph matching.
- Subjects
WIKIPEDIA; DATA mining
- Publication
Knowledge & Information Systems, 2020, Vol 62, Issue 6, p2169
- ISSN
0219-1377
- Publication type
Article
- DOI
10.1007/s10115-019-01415-5