A contextual information retrieval framework

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aut.researcherMacDonell, Stephen Gerard
dc.contributor.authorLimbu, D
dc.contributor.authorConnor, AM
dc.contributor.authorMacDonell, SG
dc.date.accessioned2011-11-29T04:25:51Z
dc.date.available2011-11-29T04:25:51Z
dc.date.copyright2005
dc.date.issued2005
dc.description.abstractThe amount of information on the Internet is constantly growing and the challenge now is one of finding relevant information. Contextual information retrieval (CIR) is a critical technology for today's search engines to facilitate queries and return relevant information. Despite its importance, little progress has been made in CIR due to the difficulty of capturing and representing contextual information about users. Numerous CIR approaches exist today, but, to the best of our knowledge, none of them offer a similar service to the one proposed in this paper. This paper proposes an alternative framework for CIR from the World Wide Web (WWW). The framework aims to improve query results (or make search results more relevant) by constructing a contextual profile based on a user's behaviour, their preferences, and a shared knowledge base, and by using this information in the search engine framework to find and return relevant information.
dc.identifier.citationBulletin of Applied Computing and Information Technology, vol.3(3)
dc.identifier.issn1176-4120 (online)
dc.identifier.urihttps://hdl.handle.net/10292/2848
dc.publisherNational Advisory Committee on Computing Qualifications (NACCQ)
dc.relation.urihttp://www.citrenz.ac.nz/bacit/0303/2005Limbu_ContextualRetrieval.htm
dc.rightsCopyright © 2005 NACCQ. The author(s) assign to NACCQ and educational non-profit institutions a non-exclusive licence to use this document for personal use and in courses of instruction provided that the article is used in full and this copyright statement is reproduced. The author(s) also grant a non-exclusive licence to NACCQ to publish this document in full on the World Wide Web (prime sites and mirrors) and in printed form within the Bulletin of Applied Computing and Information Technology. Authors retain their individual intellectual property rights.
dc.rights.accessrightsOpenAccess
dc.subjectContextual information
dc.subjectContextual retrieval
dc.subjectContextual model
dc.subjectContextual search
dc.titleA contextual information retrieval framework
dc.typeJournal Article
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/School of Computing & Mathematical Science
pubs.organisational-data/AUT/PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers/DCT C & M Computing
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