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dc.contributor.authorHe, Xiaofen
dc.date.accessioned2007-01-19 20:48:31 (GMT)
dc.date.available2007-01-19 20:48:31 (GMT)
dc.date.issued2007-01-19T20:48:31Z
dc.date.submitted2007
dc.identifier.urihttp://hdl.handle.net/10012/2663
dc.description.abstractIn order to do more semantics-based information extraction, we require specialized domain models. We develop a hybrid approach for constructing such a domain-specific ontology, which integrates key concepts from the protein-protein–interaction domain with the Gene Ontology. In addition, we present a method for using the domain-specific ontology in a discourse-based analysis module for analyzing full-text articles on protein interactions. The analysis module uses a lexical chaining technique to extract strings of semantically related words that represent the topic structure of the text. We show that the domain-specific ontology improved the performance of the lexical-chaining module. As well the topic structure as represented by the lexical chains contains important information on protein-protein interactions appearing in the same textual context.en
dc.format.extent1036324 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.subjectlexical chain ontology construction information extractionen
dc.titleA protocol for constructing a domain-specific ontology for use in biomedical information extraction using lexical-chaining analysisen
dc.typeMaster Thesisen
dc.pendingfalseen
dc.subject.programComputer Scienceen
uws-etd.degree.departmentSchool of Computer Scienceen
uws-etd.degreeMaster of Mathematicsen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


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