Automated Population of Cyc: Extracting Information about Namedentities from the Web

dc.contributor.authorShah, Purvesh
dc.contributor.authorSchneider, David
dc.contributor.authorMatuszek, Cynthia
dc.contributor.authorKahlert, Robert C.
dc.contributor.authorAldag, Bjørn
dc.contributor.authorBaxter, David
dc.contributor.authorCabral, John
dc.contributor.authorWitbrock, Michael
dc.contributor.authorCurtis, Jon
dc.date.accessioned2018-09-06T18:12:20Z
dc.date.available2018-09-06T18:12:20Z
dc.date.issued2006-02-13
dc.description19th International FLAIRS Conference, Melbourne Beach, FL, May 2006.
dc.description.abstractPopulating the Cyc Knowledge Base (KB) has been a manual process until very recently. However, there is currently enough knowledge in Cyc for it to be feasible to attempt to acquire additional knowledge autonomously. This paper describes a system that can collect and validate formally represented, fully-integrated knowledge from the Web or any other electronically available text corpus, about various entities of interest (e.g. famous people, organizations, etc.). Experimental results and lessons learned from their analysis are presented.en_US
dc.description.urihttps://aaai.org/Library/FLAIRS/2006/flairs06-026.phpen_US
dc.format.extent6 PAGESen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2NS0M20T
dc.identifier.citationPurvesh Shah, David Schneider, Cynthia Matuszek, Robert C. Kahlert, Bjoern Aldag, David Baxter, John Cabral, Michael Witbrock, Jon Curtis, Purvesh Shah, David Schneider, Cynthia Matuszek, Robert C. Kahlert, Bjoern Aldag, David Baxter, John Cabral, Michael Witbrock, Jon Curtis, 2006, https://aaai.org/Library/FLAIRS/2006/flairs06-026.phpen_US
dc.identifier.urihttp://hdl.handle.net/11603/11264
dc.language.isoen_USen_US
dc.publisherAssociation for the Advancement of Artificial Intelligence (AAAI)en_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
dc.subjectCyc Knowledge Base (KB)en_US
dc.subjectcomputer understandable knowledgeen_US
dc.subjectInteractive Robotics and Language Laben_US
dc.titleAutomated Population of Cyc: Extracting Information about Namedentities from the Weben_US
dc.typeTexten_US

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