Conceptual Browser: a concept-based knowledge extraction technique

dc.contributor.advisorLinders, J.G.
dc.contributor.authorEmami, Leila
dc.date.accessioned2020-08-25T17:03:14Z
dc.date.available2020-08-25T17:03:14Z
dc.date.copyright1999
dc.degree.departmentDepartment of Computing and Information Scienceen_US
dc.degree.grantorUniversity of Guelphen_US
dc.degree.nameMaster of Scienceen_US
dc.description.abstractConceptual Graphs have been used to model knowledge representations since their introduction by John Sowa in the early 80's. However, it is only recently that they have come to be considered for use within Knowledge Base Systems (KBS). Conceptual Browser explores the use of Conceptual Graphs to the model relations" to be used for knowledge base retrieval. This is achieved through the use of a query facility. A query facility in turn provides a translation of a query into a corresponding Conceptual Graph, which is then matched against a set of Conceptual Graphs to find the best fit. The system then utilizes the knowledge base thus created to illustrate the information, in the form of an ontology "about" the user's requested query, which is the main purpose of the Conceptual Browser. A knowledge base with the information about dogs is considered. The available text is restructured, using Conceptual Graph Linear Format (LF). A user query is converted accurately to concepts and concepts relation forms using conceptual graphs. A graph matching system using theories in Conceptual Graphs relate the query to the matching knowledge base. The retrieved information algorithm in Conceptual Browser. This thesis indicates that this information the human knowledge retrieval system.en_US
dc.identifier.urihttps://hdl.handle.net/10214/21051
dc.language.isoen
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectConceptual Graphsen_US
dc.subjectmodelen_US
dc.subjectknowledge representationsen_US
dc.subjectKnowledge Base Systemsen_US
dc.subjectConceptual Browseren_US
dc.subjectknowledge base retrievalen_US
dc.subjectquery facilityen_US
dc.subjectConceptual Graph Linear Formaten_US
dc.titleConceptual Browser: a concept-based knowledge extraction techniqueen_US
dc.typeThesisen_US

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