Survey of User Interested Data Classification Using Ontology & Statistical Method from RSS feeds

Survey of User Interested Data Classification Using Ontology & Statistical Method from RSS feeds
Author(s):
Vrushali M. Pamar, Ishan Rajani
Keywords:
Ontology, Text classification, Semantic Relatedness, Information Retrieval
Abstract
Ontology is an implicit formal conceptualization of some domain of interest. Ontologies are gradually more used in different fields such as knowledge management, information extraction, and the semantic web. Ontology estimation is the problem of assessing a given ontology from the point of view of a particular criterion of application, typically in order to determine which of a number of ontologies should best suit a particular purpose. This paper presents a survey of the User Interested Data Classification using Ontology.
Article Details
Unique Paper ID: 144141 Publication Volume & Issue: Volume 3, Issue 7 Page(s): 81 - 85
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