Automatic Concept-Based Query Expansion Using Term Relational Pathways Built from a Collection-Specific Association Thesaurus

Persistent Link:
http://hdl.handle.net/10150/306773
Title:
Automatic Concept-Based Query Expansion Using Term Relational Pathways Built from a Collection-Specific Association Thesaurus
Author:
Lyall-Wilson, Jennifer Rae
Issue Date:
2013
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The dissertation research explores an approach to automatic concept-based query expansion to improve search engine performance. It uses a network-based approach for identifying the concept represented by the user's query and is founded on the idea that a collection-specific association thesaurus can be used to create a reasonable representation of all the concepts within the document collection as well as the relationships these concepts have to one another. Because the representation is generated using data from the association thesaurus, a mapping will exist between the representation of the concepts and the terms used to describe these concepts. The research applies to search engines designed for use in an individual website with content focused on a specific conceptual domain. Therefore, both the document collection and the subject content must be well-bounded, which affords the ability to make use of techniques not currently feasible for general purpose search engine used on the entire web.
Type:
text; Electronic Dissertation
Keywords:
automatic query expansion; conceptual network; information retrieval; Lucene search engine; Natural Language Processing (NLP); Information Resources & Library Science; association thesaurus
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Information Resources & Library Science
Degree Grantor:
University of Arizona
Advisor:
Frické, Martin

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleAutomatic Concept-Based Query Expansion Using Term Relational Pathways Built from a Collection-Specific Association Thesaurusen_US
dc.creatorLyall-Wilson, Jennifer Raeen_US
dc.contributor.authorLyall-Wilson, Jennifer Raeen_US
dc.date.issued2013-
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe dissertation research explores an approach to automatic concept-based query expansion to improve search engine performance. It uses a network-based approach for identifying the concept represented by the user's query and is founded on the idea that a collection-specific association thesaurus can be used to create a reasonable representation of all the concepts within the document collection as well as the relationships these concepts have to one another. Because the representation is generated using data from the association thesaurus, a mapping will exist between the representation of the concepts and the terms used to describe these concepts. The research applies to search engines designed for use in an individual website with content focused on a specific conceptual domain. Therefore, both the document collection and the subject content must be well-bounded, which affords the ability to make use of techniques not currently feasible for general purpose search engine used on the entire web.en_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.subjectautomatic query expansionen_US
dc.subjectconceptual networken_US
dc.subjectinformation retrievalen_US
dc.subjectLucene search engineen_US
dc.subjectNatural Language Processing (NLP)en_US
dc.subjectInformation Resources & Library Scienceen_US
dc.subjectassociation thesaurusen_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineInformation Resources & Library Scienceen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorFrické, Martinen_US
dc.contributor.committeememberFrické, Martinen_US
dc.contributor.committeememberHong, Cuien_US
dc.contributor.committeememberHeidorn, Bryanen_US
dc.contributor.committeememberBakken, Garyen_US
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