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Comparative Study on Ontology Based Text Documents Clustering Techniques


Affiliations
1 Marwadi Education Foundation Group of Institute, Gujarat Technological University, Ahmedabad, Gujarat, India
2 Department of Computer Engineering, Marwadi Education Foundation Group of Institutions, Rajkot, India
     

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With the problem of increased utilization of internet and the huge amount of text documents,the necessity of having efficient document clustering technology. In the field of Text mining, most work going on information retrieval and document summarization, very lessattention in domain of document clustering. Traditional text mining represents document as bag of words which has some limitation, as this method does not consider semantic relationship among the texts. Semantic text mining can overcome this limitation-using Ontology. Using ontology document represents as vector of weighted concepts. In this paper, present two type of survey. First is, Survey on pre-clustering approach. Second is, Documents clustering techniques.

Keywords

Document Clustering, Ontology, Pre-Clustering, Semantic, Text Mining, Weighted Concepts.
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  • Comparative Study on Ontology Based Text Documents Clustering Techniques

Abstract Views: 246  |  PDF Views: 5

Authors

Apeksha Charola
Marwadi Education Foundation Group of Institute, Gujarat Technological University, Ahmedabad, Gujarat, India
Sahista Machchhar
Department of Computer Engineering, Marwadi Education Foundation Group of Institutions, Rajkot, India

Abstract


With the problem of increased utilization of internet and the huge amount of text documents,the necessity of having efficient document clustering technology. In the field of Text mining, most work going on information retrieval and document summarization, very lessattention in domain of document clustering. Traditional text mining represents document as bag of words which has some limitation, as this method does not consider semantic relationship among the texts. Semantic text mining can overcome this limitation-using Ontology. Using ontology document represents as vector of weighted concepts. In this paper, present two type of survey. First is, Survey on pre-clustering approach. Second is, Documents clustering techniques.

Keywords


Document Clustering, Ontology, Pre-Clustering, Semantic, Text Mining, Weighted Concepts.