DocumentCode
2345782
Title
Toward Ontology-Guided Knowledge-Driven XML Query Relaxation
Author
Hill, Jeremy ; Torson, Jeff ; Guo, Bo ; Chen, Zhengxin
Author_Institution
Dept. of Comput. Sci., Univ. of Nebraska at Omaha, Omaha, NE, USA
fYear
2010
fDate
28-30 Sept. 2010
Firstpage
448
Lastpage
453
Abstract
Recently ontologies have drawn much attention from research communities. However, the advantage of using ontologies for knowledge-driven intelligent query answering is yet to be fully explored. In this paper, we examine the use of ontologies for guiding XML query relaxation and propose a practical approach which incorporates WordNet ontology with free software Qexo. Rather than reinventing the wheel, we take advantage of assembling publicly available tools to make query relaxation easy to implement. We present a methodology for XML query relaxation, and report experimental results to show the feasibility of the proposed approach. Our research indicates the importance of incorporating ontologies into the study of intelligent query answering.
Keywords
XML; ontologies (artificial intelligence); query processing; question answering (information retrieval); Qexo; WordNet ontology; knowledge-driven intelligent query answering; ontology-guided knowledge-driven XML query relaxation; Query relaxation; WordNet; XML; intelligent query answering; ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4244-8652-6
Electronic_ISBN
978-0-7695-4262-1
Type
conf
DOI
10.1109/CIMSiM.2010.22
Filename
5701888
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