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A Survey on Ontology System in Semantic Web using Intelligent Techniques

Affiliations

  • School of Computing and Engineering, Vellore Institute of Technology, Katpadi, Vellore - 632014, Tamil Nadu, India

Abstract


Objectives: The current study provides how the web data can be analysed effectively using some intelligent techniques. Methods/Statistical Analysis: Information retrieval among the web is not quite easy as the data is big. Semantic web enables to search the content of web in ease. One of the goals of Semantic Web search is to incorporate most of the knowledge of a domain in an ontology that can be shared by many applications. Ontologies provide hierarchal taxonomies of information of a particular domain with concepts based classes, attributes, and the relationships between concepts. Findings: The ontology provides better way to represent the data and information as it is specified based on the conceptualization. Also applying some intelligent techniques like rough set, fuzzy set, formal concept analysis and case-based representation still improves the efficiency of representing and analysing the ontology under various categories.

Keywords

Case Representation, Formal Concept Analysis, Ontology, Rough Set, Semantic Web.

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