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dc.contributor.authorDong, Hai
dc.contributor.authorHussain, Farookh Khadeer
dc.contributor.authorChang, Elizabeth
dc.contributor.editorUlieru. M.
dc.date.accessioned2017-01-30T11:21:45Z
dc.date.available2017-01-30T11:21:45Z
dc.date.created2009-03-16T18:01:16Z
dc.date.issued2008
dc.identifier.citationDong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2008. Paradox in applications of semantic similarity models in information retrieval, in Ulieru, M. (ed), IT Revolutions 2008, Dec 17 2008, Venice, Italy: Institute of Electrical and Electronics Engineers (IEEE).
dc.identifier.urihttp://hdl.handle.net/20.500.11937/10921
dc.description.abstract

Semantic similarity models are a series of mathematical models for computing semantic similarity values among nodes in a semantic net. In this paper we reveal the paradox in the applications of these semantic similarity models in the field of information retrieval, which is that these models rely on a common prerequisite ? the words of a user query must correspond to the nodes of a semantic net. In certain situations, this sort of correspondence cannot be carried out, which invalidates the further working of these semantic similarity models. By means of two case studies, we analyze these issues. In addition, we discuss some possible solutions in order to address these issues. Conclusion and future works are drawn in the final section.

dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectinformation retrieval
dc.subjectsemantic similarity models
dc.subjectsemantic net
dc.titleParadox in applications of semantic similarity models in information retrieval
dc.typeConference Paper
dcterms.source.titleProceedings of the IT Revolutions 2008
dcterms.source.seriesProceedings of the IT Revolutions 2008
dcterms.source.isbn9789639799387
dcterms.source.conferenceIT Revolutions 2008
dcterms.source.conference-start-date17 Dec 2008
dcterms.source.conferencelocationVenice, Italy
dcterms.source.placeItaly
curtin.note

Copyright © 2008 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

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curtin.facultyCurtin Business School
curtin.facultyCentre for Extended Enterprises and Business Intelligence
curtin.facultySchool of Information Systems


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