Hyeon Jeong Mun , Yong Tae Woo

The KIPS Transactions:PartD, Vol. 13, No. 3, pp. 309-316, Jun. 2006
10.3745/KIPSTD.2006.13.3.309,   PDF Download:

Abstract

We propose a novel technique to categorize XML documents and extract a concept efficiently using domain ontology. First, we create domain ontology that use text mining technique and statistical technique. We propose a technique to classify XML documents by using the structural characteristic of XML document. We also present technique to extract a concept by comparing the association term set of domain ontology and the terms in the XML document. To verify the efficiency of the proposed techniques, we perform experiment for 295 papers in the computer science area. The results of experiment show that the proposed technique using the structural information in the XML documents is more efficient than the existing technique. Especially, the technique effectively extract the concept of documents although frequency of term is few. Hence, the proposed concept-based retrieval techniques can be expected to contribute to the development of an efficient ontology-based knowledge management system.

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