A text document clustering method based on ontology

Authors:
Yi Ding;Xian Fu
Affiliations:
The college of computer science and technology, Hubei normal university, Huangshi , China;The college of computer science and technology, Hubei normal university, Huangshi , China
Venue:
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Year:
2011

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Abstract

Text clustering as a method of organizing retrieval results can organize large amounts of web search into a small number of clusters in order to facilitate users' quickly browsing. In this paper, we propose A text document clustering method based on ontology which is different from traditional text clustering and can improve clustering results performance. We have shown how to include background knowledge in form of a heterarchy in order to generate different clustering views onto a set of documents. We have compared our approach against a sophisticated baseline, achieving a result favorable for our approach.