Extending DBpedia with List Structures in Wikipedia Articles

Abstract

Ontologies are the basis of the Semantic Web. Owing to the cost of their construction and maintenance, however, there is much interest in automating their construction. Wikipedia is considered a promising source of knowledge because of its own characteristics. DBpedia extracts a large amount of ontological information from Wikipedia. However, DBpedia focuses exclusively on infoboxes (i.e., tables summarizing articles), and several works aim at extending DBpedia by using more information from Wikipedia. This paper builds upon this line of work, and focuses on the section titles and list structure to extend DBpedia. We develop an information extraction system using the list structure and extract more than 20 million triples using section titles as predicates. This suggests that there is ample potential to significantly expand the coverage of DBpedia.