Using an integrated ontology database to categorize web pages

Authors:
Rujiang Bai;Xiaoyue Wang;Junhua Liao
Affiliations:
Shandong University of Technology, Zibo, China;Shandong University of Technology, Zibo, China;Shandong University of Technology, Zibo, China
Venue:
AST/UCMA/ISA/ACN'10 Proceedings of the 2010 international conference on Advances in computer science and information technology
Year:
2010

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Abstract

As we know, current classification methods are mostly based on the VSM (Vector Space Model), which only accounts for term frequency in the documents, and ignores important semantic relationships between key terms. We proposed a system that uses an integrated ontologies and Natural Language Processing techniques to index texts. Traditional Words matrix is replaced by Concepts based matrix. For this purpose, we developed fully automated methods for mapping keywords to their corresponding ontology concepts. Support Vector Machine a successful machine learning technique is used for classification. Experimental results shows that our proposed method dose improve text classification performance significantly.