Extending Dbpedia with Wikipedia List Pages
Thanks to its wide coverage and general-purpose ontology, DBpedia is a prominent dataset in the Linked Open Data cloud. DBpedia's content is harvested from Wikipedia's infoboxes, based on manually created mappings. In this paper, authors explore the use of a promising source of knowledge for extending DBpedia, i.e., Wikipedia's list pages. Authors discuss how a combination of frequent pattern mining and natural language processing (NLP) methods can be leveraged in order to extend both the DBpedia ontology, as well as the instance information in DBpedia. Authors provide an illustrative example to show the potential impact of approach and discuss its main challenges.