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
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;
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
DOI :
10.1109/CIMSiM.2010.22