Approaches for Automatically Enriching Wikipedia

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dc.contributor.authorSyed, Zareen
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-11-14T18:36:11Z
dc.date.available2018-11-14T18:36:11Z
dc.date.issued2010-06-11
dc.descriptionProceedings of the AAAI-2010 Workshop on Collaboratively-built Knowledge Sources and Artificial Intelligenceen_US
dc.description.abstractWe have been exploring the use of Web-derived knowledge bases through the development of Wikitology - a hybrid knowledge base of structured and unstructured information extracted from Wikipedia augmented by RDF data from DBpedia and other Linked Open Data resources. In this paper, we describe approaches that aid in enriching Wikipedia and thus the resources that derive from Wikipedia such as the Wikitology knowledge base, DBpedia, Freebase and Powerset.en_US
dc.description.urihttps://www.google.com/url?q=https://aaai.org/ocs/index.php/WS/AAAIW10/paper/download/2036/2493&sa=U&ved=0ahUKEwjgmYPCrL3eAhWFl-AKHe5MD9UQFggEMAA&client=internal-uds-cse&cx=016314354884912110518:gwmynp16xuu&usg=AOvVaw2luCw6l7dSFth8ApNBzbMGen_US
dc.format.extent8 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2GM81S5C
dc.identifier.citationZareen Syed and Tim Finin, Approaches for Automatically Enriching Wikipedia, Proceedings of the AAAI-2010 Workshop on Collaboratively-built Knowledge Sources and Artificial Intelligence, 2010, https://www.google.com/url?q=https://aaai.org/ocs/index.php/WS/AAAIW10/paper/download/2036/2493&sa=U&ved=0ahUKEwjgmYPCrL3eAhWFl-AKHe5MD9UQFggEMAA&client=internal-uds-cse&cx=016314354884912110518:gwmynp16xuu&usg=AOvVaw2luCw6l7dSFth8ApNBzbMGen_US
dc.identifier.urihttp://hdl.handle.net/11603/11985
dc.language.isoen_USen_US
dc.publisherAAAIen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectinformation extractionen_US
dc.subjectsemantic weben_US
dc.subjectwikipediaen_US
dc.subjectwikitologyen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleApproaches for Automatically Enriching Wikipediaen_US
dc.typeTexten_US

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