An Effective Semantic Web Knowledge Processing Mechanism by Using an Adaptive Swarm Intelligence Technique for Ontology (ASITO)

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2021 by IJETT Journal
Volume-69 Issue-3
Year of Publication : 2021
Authors : A.Sindhura, J.Rajeshwar, M.V.Narayana, M.Ram Babu
DOI :  10.14445/22315381/IJETT-V69I3P230

Citation 

MLA Style: A.Sindhura, J.Rajeshwar, M.V.Narayana, M.Ram Babu"An Effective Semantic Web Knowledge Processing Mechanism by Using an Adaptive Swarm Intelligence Technique for Ontology (ASITO)" International Journal of Engineering Trends and Technology 69.3(2021):195-200. 

APA Style:A.Sindhura, J.Rajeshwar, M.V.Narayana, M.Ram Babu. An Effective Semantic Web Knowledge Processing Mechanism by Using an Adaptive Swarm Intelligence Technique for Ontology (ASITO)  International Journal of Engineering Trends and Technology, 69(3),195-200.

Abstract
The Semantic Web offers a comprehensive solution to individuals gaining supremacy of various data and data resources. The semantic web provides people with the tools to render data more concrete and less biased. The Semantic Web often extends to certain facets of our everyday lives. There is new scope for the usage and discovery of knowledge because of the semantic web. A field of focus is developing knowledge processing. The semantic web is a leading representative of Semantic Web development and discoveries. The semantic Network allows researchers to reflect their data in languages that are simpler to be processed, incorporated, and reason. Data creates much greater importance if connected to other valid data services. The data convergence from mash-ups to the business is a fascinating subject in current research and growth. As intelligent goods are being created, thinking abilities will bring much more benefit. It offers many issues to worry about to bring one across. Adaptive Swarm Intelligence Technique for Ontology (ASITO) addresses the increasing knowledge base, and reasoning efficiency needs to be modernized.

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Keywords
Semantic Web; Ontology; Swarm Intelligence; Particle Swarm Optimization. Introduction