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GCKEngine - An Algorithm for Automatic Ontology Building


Abstract To facilitate the development of the Semantic Web, we propose in this thesis a general automatic ontology-building algorithm which, given a pool of potential terms and a set of relationships to include in the ontology, can utilize information gathered from Google queries to build a full ontology for a certain domain. We utilized this ontology-building algorithm as part of a larger system to tag computer tutorials for three systems with different kinds of metadata, and index the tagged documents into a search engine. Our evaluation of the resultant search engine indicates that our automatic ontology-building algorithm is able to build relatively good-quality ontologies and utilize this ontology to effectively apply metadata to documents.
Created Date 2013-05
Contributor Walliman, Garret Greg (Author) / Davulcu, Hasan (Thesis Director) / Liu, Huan (Committee Member) / Bazzi, Rida (Committee Member) / Barrett, The Honors College () / Computer Science and Engineering Program ()
Subject Semantic Web / Google / Metadata / Tagging / Automatic Ontology Building
Series Academic Year 2012-2013
Type Text
Extent 68 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Collaborating Institutions Barrett, the Honors College
Additional Formats MODS / OAI Dublin Core / RIS


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