Authors : Abhishek Patil

Volume/Issue : Volume 9 - 2024, Issue 7 - July

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Google Scholar : https://tinyurl.com/vp3t2x32

Scribd : https://tinyurl.com/3hvejw8m

DOI : https://doi.org/10.38124/ijisrt/IJISRT24JUL1103

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : The process of defining content from different ontologies is time-consuming, tedious and error-prone. To solve these problems, new methods for ontology comparison have been developed. This process focuses on the integration of ontologies for various applications, but also requires maintaining the integrity of the integrated ontologies. The concept ontology associated with integration is designed to be more efficient, accurate and useful. You can combine these two and compete together to increase accuracy. Comparing this approach with existing methods should provide greater accuracy and efficiency in ontology comparison.

Keywords : Automated Negotiation, Open Environment, Heterogeneity Problem, Ontology Mapping.

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