Abstract
XML queries are often expanded based on ontology for broad and in-depth search. But, queries generated from ontology itself are not specific to target documents. Accordingly, the overall search efficiency will deteriorate with those superfluous queries that are not succinct to the target. We suggest an ontology reduction algorithm where the target DTD is matched to ontology such that queries can be minimally expanded. The matched and reduced ontology is successively reusable for the document of a kind. This target-fitted query expansion method is expected to be more efficient than conventional methods in query processing.
University Fundamental Research Program supported by Ministry of Information & Communication in Republic of Korea.
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Kim, M.S., Kong, Y.H. (2005). Ontology-DTD Matching Algorithm for Efficient XML Query. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_141
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DOI: https://doi.org/10.1007/11540007_141
Publisher Name: Springer, Berlin, Heidelberg
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