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Ontology-Based Web Query Classification for Information Retrieval within Digital Library

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dc.contributor.author Naing, Myo Myo Than
dc.date.accessioned 2019-07-11T04:20:55Z
dc.date.available 2019-07-11T04:20:55Z
dc.date.issued 2013-02-26
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/720
dc.description.abstract In information retrieval system, classification of web queries is important to provide search result effectively and efficiently. Web query classification is to classify a web search query into a set of intended categories. This paper proposes the framework for providing better search results by classifying web query using domain ontology. We propose Query Classification Algorithm (QCA) for automatic topical classification of web queries based on domain specific ontology. Here, Ontology is a specialization of concepts in domain and relationships that holds between those concepts. Using ontology as a controlled vocabulary in the process of classification, accuracy value can be improved in retrieving information. The proposed system intends to provide better search result pages for users with interests of intended categories. en_US
dc.language.iso en en_US
dc.publisher Eleventh International Conference On Computer Applications (ICCA 2013) en_US
dc.subject Information retrieval System en_US
dc.subject Query Classification Algorithm (QCA) en_US
dc.subject Domain term Extraction en_US
dc.subject Domain Ontology en_US
dc.title Ontology-Based Web Query Classification for Information Retrieval within Digital Library en_US
dc.type Article en_US


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