Topic selection of web documents using specific domain ontology

Authors:
Hyunjang Kong;Myunggwon Hwang;Gwangsu Hwang;Jaehong Shim;Pankoo Kim
Affiliations:
Dept. of Computer Engineering, Chosun University, Gwangju, South Korea;Dept. of Computer Engineering, Chosun University, Gwangju, South Korea;Dept. of Computer Engineering, Chosun University, Gwangju, South Korea;Dept. of Computer Engineering, Chosun University, Gwangju, South Korea;Corresponding Author, Dept. of Computer Engineering, Chosun University
Venue:
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Year:
2006

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Abstract

This paper proposes a topic selection method for web documents using ontology hierarchy. The idea of this approach is to utilize the ontology structure in order to determine a topic in a web document. In this paper, we propose an approach for improving the performance of document clustering as we select the topic efficiently based on domain ontology. We preprocess the web documents for keywords extraction using Term Frequency formula and we build domain ontology as we branch off the partial hierarchy from WordNet using an automatic domain ontology building tool in preprocessing step. And we select a topic for the web documents based on domain ontology structure. Finally we realized that our approach contributes the efficient document clustering.