Autonomous Classification of Knowledge into an Ontology

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dc.contributor.authorTaylor, Matthew E.
dc.contributor.authorMatuszek, Cynthia
dc.contributor.authorKlimt, Bryan
dc.contributor.authorWitbrock, Michael
dc.date.accessioned2018-09-06T17:46:51Z
dc.date.available2018-09-06T17:46:51Z
dc.date.issued2007-02-11
dc.descriptionThe 20th International FLAIRS Conference (FLAIRS), Key West, Florida, May 2007.
dc.description.abstractOntologies are an increasingly important tool in knowledge representation, as they allow large amounts of data to be related in a logical fashion. Current research is concentrated on automatically constructing ontologies, merging ontologies with different structures, and optimal mechanisms for ontology building; in this work we consider the related, but distinct, problem of how to automatically determine where to place new knowledge into an existing ontology. Rather than relying on human knowledge engineers to carefully classify knowledge, it is becoming increasingly important for machine learning techniques to automate such a task. Automation is particularly important as the rate of ontology building via automatic knowledge acquisition techniques increases. This paper compares three well-established machine learning techniques and shows that they can be applied successfully to this knowledge placement task. Our methods are fully implemented and tested in the Cyc knowledge base system.en_US
dc.description.sponsorshipThis research was supported by Cycorp, Inc.en_US
dc.description.urihttps://aaai.org/Library/FLAIRS/2007/flairs07-026.phpen_US
dc.format.extent6 PAGESen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2X921N6Q
dc.identifier.citationMatthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael Witbrock, Autonomous Classification of Knowledge into an Ontology, 20th International FLAIRS Conference (FLAIRS), Key West, Florida, May 2007en_US
dc.identifier.urihttp://hdl.handle.net/11603/11262
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.subjectOntologiesen_US
dc.subjectCyc knowledge base (KB)en_US
dc.subjectSupport Vector Machinesen_US
dc.subjectInteractive Robotics and Language Laben_US
dc.titleAutonomous Classification of Knowledge into an Ontologyen_US
dc.typeTexten_US

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