Paper Info
Title
DBkWik: A Consolidated Knowledge Graph from Thousands of Wikis
Abstract
Popular 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.
Year
DOI
Venue
2018
10.1109/ICBK.2018.00011
2018 IEEE International Conference on Big Knowledge (ICBK)
Keywords
DocType
ISBN
Knowledge Graph Creation,Information Extraction,Linked Open Data
Conference
978-1-5386-9126-7
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Sven Hertling16112.33
Heiko Paulheim2109584.19