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Clustering of documents based on ontology

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Nay Lynn,  (Graduate student, Kursk state university)

Series "Natural & Technical Sciences" # 09  2017
The article analyzes one of the ways of clustering documents. Approaches to the implementation of this method are determined. Clustering of the text by traditional methods is carried out on the basis of syntactic information, rather than semantic information. Therefore, the clustering system does not understand the meaning of words, and there are synonyms and polysemy in the documents. But there are other problems that lead to data loss and errors in information. When an ontology is replaced by the same semantically word, there is a possibility of data loss. This article proposes a new generalized clustering method that uses Wikipedia concepts and Wikipedia categories.

Keywords: clustering, ontology, search, semantic weight.

 

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© 
Nay Lynn, Journal "Modern science: actual problems of theory and practice".
 

 

 

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