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Ontology-Based Web Query Classification for Information Retrieval within Digital Library
http://hdl.handle.net/20.500.12678/0000004820
http://hdl.handle.net/20.500.12678/00000048205aa74f16-97e5-4bd2-85c8-eb599601e316
6dc3e3d2-b77f-4abf-abd0-3720843e9b95
Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Ontology-Based Web Query Classification for Information Retrieval within Digital Library | |||||
Language | en | |||||
Publication date | 2013-02-26 | |||||
Authors | ||||||
Naing, Myo Myo Than | ||||||
Description | ||||||
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. | ||||||
Keywords | ||||||
Information retrieval System, Query Classification Algorithm (QCA), Domain term Extraction, Domain Ontology | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/720 | |||||
Journal articles | ||||||
Eleventh International Conference On Computer Applications (ICCA 2013) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |