Difference between revisions of "Extending Dbpedia with Wikipedia List Pages"
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| − | '''Extending Dbpedia with Wikipedia List Pages''' - scientific work related to Wikipedia quality published in 2013, written by Heiko Paulheim and Simone Paolo Ponzetto. | + | '''Extending Dbpedia with Wikipedia List Pages''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Heiko Paulheim]] and [[Simone Paolo Ponzetto]]. |
== Overview == | == Overview == | ||
| − | 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. | + | 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. |
Revision as of 11:26, 14 June 2020
Extending Dbpedia with Wikipedia List Pages - scientific work related to Wikipedia quality published in 2013, written by Heiko Paulheim and Simone Paolo Ponzetto.
Overview
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.
