Design and Development of an Advancing Web Information Stockpiling for Engraved Ontology in User Contours

Authors

  • S. Ravichandran Associate Professor, Department of Computer Science and Engineering, GITAM University, Hyderabad, Telangana, India
  • K. L. Narasimha Rao Assistant Professor, Department of Computer Science and Engineering, GITAM University, Hyderabad, Telangana, India

DOI:

https://doi.org/10.51983/ajcst-2022.11.2.3379

Keywords:

Ontology, User Contours, Library of Congress Subject Headings (LCSH), RT, Ontology Learning Environment (OLE), Tree Model

Abstract

As a version for know-how description and formalization, ontologies are extensively used to represent person contours in Adapted net information gathering. However, whilst representing person contours, many fashions have utilized best expertise from either a Biosphere wide know-how base or a person nearby records. In this article, a customized ontology style is suggested pro expertise illustration and reasoning over user contours respectively. That version absorbs ontological user contours on or after each a biosphere know-how base and person local instance repositories. The ontology model is evaluated by way of evaluating it in opposition to benchmark fashions in internet data gathering. The consequences display that this ontology prototype is a hit.

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Published

13-08-2022

How to Cite

Ravichandran, S., & Narasimha Rao, K. L. (2022). Design and Development of an Advancing Web Information Stockpiling for Engraved Ontology in User Contours. Asian Journal of Computer Science and Technology, 11(2), 11–15. https://doi.org/10.51983/ajcst-2022.11.2.3379

Issue

Vol. 11 No. 2 (2022): July-December 2022

Section

Articles

License

Copyright (c) 2022 The Research Publication

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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