Contextual and concept-based interactive query expansion

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aut.researcherMacDonell, Stephen Gerard
dc.contributor.authorLimbu, D
dc.contributor.authorPears, R
dc.contributor.authorConnor, AM
dc.contributor.authorMacDonell, S
dc.date.accessioned2011-08-06T03:57:49Z
dc.date.available2011-08-06T03:57:49Z
dc.date.copyright2006
dc.date.issued2006
dc.description.abstractIn this paper, we present a novel approach for contextual and concept based query formulation in web-based information retrieval, which is an on-going PhD project being undertaken at the Software Engineering Research Lab (SERL) at Auckland University of Technology (AUT). Various query formulation approaches have been studied for a long time with varying degree of success. To the best of our knowledge none of the existing approaches offer a similar service to the one discussed in this paper. Our novel approach centres on the formulation of a high quality search query using a user’s contextual profile, a shared contextual knowledge based, lexical databases and domain-specific concepts. A user’s contextual profile is constructed by monitoring and capturing user’s implicit and explicit data. A shared contextual knowledge based is built by consolidating various users’ contextual profiles. A machine learning technique is employed to learn user’s specific information needs and support the iterative development of a search query by suggesting alternative terms/ concepts for query formulation. Early results indicate that the system has the potential to not only aid in the formulation of high quality search queries but also contribute towards the long term goal of intelligent contextual information retrieval from the WWW.
dc.identifier.citationPresentation at the 19th Annual Conference of National Advisory Committee on Computing Qualifications (NACCQ'06), Wellington, New Zealand, pp.151-155
dc.identifier.urihttps://hdl.handle.net/10292/1594
dc.publisherNational Advisory Committee on Computing Qualifications (NACCQ)
dc.relation.urihttp://www.naccq.ac.nz/index.php/conference-2006
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation).
dc.rights.accessrightsOpenAccess
dc.subjectContextual retrieval
dc.subjectContextual profile
dc.subjectQuery formulation
dc.subjectConcept-based query formulation
dc.subjectKnowledge acquisition
dc.titleContextual and concept-based interactive query expansion
dc.typeConference Contribution
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
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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