Computer Science ›› 2010, Vol. 37 ›› Issue (9): 222-224.
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WANG Gang,ZHONG Guo-xiang
Online:
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Abstract: To improve the quality of text clustering and get the satisfactory clustering results,we proposed a text clustering based on similarity of ontology. I3y organizing text as ontology, we were easy to represent the meanings and relalions of concepts. We designed and improved the measurement of similarity and measured the text similarity by similarity of text ontology, we designed the algorithm of text clustering based on similarity. Experiments show that our method can avoid using the term isolation and high-dimensional, and can improve the clustering quality in correction degree and association degree.
Key words: Ontology, Similarity, Text clustering, Semantic
WANG Gang,ZHONG Guo-xiang. Study on Text Clustering Algorithm Based on Similarity Measurement of Ontology[J].Computer Science, 2010, 37(9): 222-224.
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