Toward Ontology-Guided Knowledge-Driven XML Query Relaxation
Jeremy Hill, Jeff Torson, Bo Guo, Zhengxin Chen · 2010
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.