Full metadata
Title
GCKEngine - An Algorithm for Automatic Ontology Building
Description
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.
Date Created
2013-05
Contributors
- Walliman, Garret Greg (Author)
- Davulcu, Hasan (Thesis director)
- Liu, Huan (Committee member)
- Bazzi, Rida (Committee member)
- Barrett, The Honors College (Contributor)
- Computer Science and Engineering Program (Contributor)
Topical Subject
Resource Type
Extent
68 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2012-2013
Handle
https://hdl.handle.net/2286/R.I.16983
Level of coding
minimal
Cataloging Standards
System Created
- 2017-10-30 02:50:57
System Modified
- 2021-08-11 04:09:57
- 3 years 1 month ago
Additional Formats