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

  • Unique Paper ID: 144141
  • PageNo: 81-85
  • 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.
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Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{144141,
        author = {Vrushali M. Pamar and Ishan Rajani},
        title = {Survey of User Interested Data Classification Using Ontology & Statistical Method from RSS feeds },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {7},
        pages = {81-85},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144141},
        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.},
        keywords = {Ontology, Text classification, Semantic Relatedness, Information Retrieval },
        month = {},
        }

Cite This Article

Pamar, V. M., & Rajani, I. (). Survey of User Interested Data Classification Using Ontology & Statistical Method from RSS feeds . International Journal of Innovative Research in Technology (IJIRT), 3(7), 81–85.

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