Document Clustering Using an Ontology-Based Vector Space Model

E-ISSN： 2155-6385|5|3|39-60

ISSN： 2155-6377

Source： International Journal of Information Retrieval Research (IJIRR), Vol.5, Iss.3, 2015-07, pp. : 39-60

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

An Ontology-Based Extraction Framework for a Semantic Web Application

International Journal of Knowledge-Based Organizations (IJKBO), Vol. 1, Iss. 3, 2011-07 ,pp. : 56-71

IGI Global_journal

Access to resources Recommend Favorite

On Knowledge-Enhanced Document Clustering

International Journal of Information Retrieval Research (IJIRR), Vol. 2, Iss. 3, 2012-07 ,pp. : 72-82

IGI Global_journal

Access to resources Recommend Favorite

Dynamic Clustering Based on Minimum Spanning Tree and Context Similarity for Enhancing Document Classification

International Journal of Information Retrieval Research (IJIRR), Vol. 4, Iss. 1, 2014-01 ,pp. : 46-60

IGI Global_journal

Access to resources Recommend Favorite

Semantic Analysis Based Approach for Relevant Text Extraction Using Ontology

International Journal of Information Retrieval Research (IJIRR), Vol. 7, Iss. 4, 2017-10 ,pp. : 19-36

IGI Global_journal

Access to resources Recommend Favorite

A Roadmap to Integrate Document Clustering in Information Retrieval

International Journal of Information Retrieval Research (IJIRR), Vol. 1, Iss. 1, 2011-01 ,pp. : 31-44

IGI Global_journal

Access to resources Recommend Favorite