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dc.contributor.advisorVerma, Brijesh
dc.contributor.authorZakos, John
dc.date.accessioned2018-01-23T02:23:41Z
dc.date.available2018-01-23T02:23:41Z
dc.date.issued2005
dc.identifier.doi10.25904/1912/1442
dc.identifier.urihttp://hdl.handle.net/10072/365878
dc.description.abstractWeb information retrieval is a relatively new research area that has attracted a significant amount of interest from researchers around the world since the emergence of the World Wide Web in the early 1990s. The problems facing successful web information retrieval are a combination of challenges that stem from traditional information retrieval and challenges characterised by the nature of the World Wide Web. The goal of any information retrieval system is to provide an information need fulfilment in response to an information need. In a web setting, this means retrieving as many relevant web documents as possible in response to an inputted query that is typically limited to only containing a few terms expressive of the user's information need. This thesis is primarily concerned with firstly reviewing pertinent literature related to various aspects of web information retrieval research and secondly proposing and investigating a novel concept and context-based approach. The approach consists of techniques that can be used together or independently and aim to provide an improvement in retrieval accuracy over other approaches. A novel concept-based term weighting technique is proposed as a new method of deriving query term significance from ontologies that can be used for the weighting of inputted queries. A technique that dynamically determines the significance of terms occurring in documents based on the matching of contexts is also proposed. Other contributions of this research include techniques for the combination of document and query term weights for the ranking of retrieved documents. All techniques were implemented and tested on benchmark data. This provides a basis for performing comparison with previous top performing web information retrieval systems. High retrieval accuracy is reported as a result of utilising the proposed approach. This is supported through comprehensive experimental evidence and favourable comparisons against previously published results.
dc.languageEnglish
dc.publisherGriffith University
dc.publisher.placeBrisbane
dc.rights.copyrightThe author owns the copyright in this thesis, unless stated otherwise.
dc.subject.keywordsWeb information retrieval
dc.subject.keywordsWorld Wide Web
dc.subject.keywordsretrieval accuracy
dc.subject.keywordsweighting technique
dc.titleA Novel Concept and Context-Based Approach for Web Information Retrieval
dc.typeGriffith thesis
gro.rights.copyrightThe author owns the copyright in this thesis, unless stated otherwise.
gro.hasfulltextFull Text
dc.contributor.otheradvisorMuthukkumarasamy, Vallipuram
dc.rights.accessRightsPublic
gro.identifier.gurtIDgu1316995784040
gro.identifier.ADTnumberadt-QGU20060303.104937
gro.source.ADTshelfnoADT0502
gro.source.GURTshelfnoGURT
gro.thesis.degreelevelThesis (PhD Doctorate)
gro.thesis.degreeprogramDoctor of Philosophy (PhD)
gro.departmentSchool of Information and Communication Technology
gro.griffith.authorZakos, John


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