Please use this identifier to cite or link to this item: https://doi.org/10.1145/2254736.2254741
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dc.titleISearch: An interpretation based framework for keyword search in relational databases
dc.contributor.authorZeng, Z.
dc.contributor.authorBao, Z.
dc.contributor.authorWang, T.
dc.contributor.authorMong, L.
dc.contributor.authorLee, L.
dc.date.accessioned2013-07-04T08:31:18Z
dc.date.available2013-07-04T08:31:18Z
dc.date.issued2012
dc.identifier.citationZeng, Z.,Bao, Z.,Wang, T.,Mong, L.,Lee, L. (2012). ISearch: An interpretation based framework for keyword search in relational databases. KEYS 2012 - Proceedings of the 3rd International Workshop on Keyword Search on Structured Data : 3-10. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/2254736.2254741" target="_blank">https://doi.org/10.1145/2254736.2254741</a>
dc.identifier.isbn9781450311984
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41599
dc.description.abstractKeyword search has become an effective information retrieval method for structured data. Existing works in relational database keyword search have addressed the problems of finding and evaluating candidate results. However, given that keyword queries are inherently ambiguous, it is often the case that candidate results do not match users'search intention. In this paper, we analyze the limitations of current keyword search techniques and introduce the problem of generating and ranking keyword query interpretations. We propose a novel 3-phase keyword search paradigm which consists of: (1) the ability to predict query interpretations; (2) incorporate user feedback to to remove keyword ambiguities; (3) a ranking model to evaluate a query interpretation. Copyright 2012 ACM.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/2254736.2254741
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1145/2254736.2254741
dc.description.sourcetitleKEYS 2012 - Proceedings of the 3rd International Workshop on Keyword Search on Structured Data
dc.description.page3-10
dc.identifier.isiutNOT_IN_WOS
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