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General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2012 Vol.2(5): 464-467 ISSN: 2010-3689
DOI: 10.7763/IJIET.2012.V2.180

Mining Web Data Based on Ontology and SWRL

Vhatkar Varsha Vilasrao and P. C. Bhaskar

Abstract—In our day to day work, if we could share knowledge across systems, costs would be reduced. However, because knowledge bases are typically constructed from scratch, each with their own idiosyncratic structure, sharing is difficult. Thus recent research has focused on the use of Ontologies to promote sharing. Ontology is a hierarchically structured set of terms for describing a domain that can be used as a skeletal foundation for a knowledge base. If two knowledge bases are built on a common Ontology, knowledge can be more readily shared, since they share a common underlying structure. Ontologies provides, a shared and common understanding of a domain that can be communicated between people and application systems. Ontology is defined as partial specification of conceptual vocabulary used for formulating knowledge-level theories about a domain of discourse. Ontology is applied in domains like natural disaster management system, medicine, military intelligence, cooking, enterprise, jobs, agriculture, Wikipedia, automobiles and so on. Ontologies have become common place as a way to represent both knowledge and data. The knowledge provided by Ontology is extremely useful in defining the structure and scope for mining Web content, identify the meaning of data without labels and algorithm learns automatically rules expressed in Semantic Web Rule Language (SWRL) and this helps find semantic data. The Ontology is recommended for formal semantics and it is look like a backbone of every semantic web applications. In this paper a technique is proposed for ontology design using semantic web rule language. The proposed technique is useful for normal search as well as semantic search according to their senses, for semantic search the system uses the WordNet dictionary. In this system, Ontology is represented as a set of concepts and their interrelationships relevant to some knowledge domain.

Index Terms—Ontology, semantic web(SW), semantic web rule language(SWRL), support vector machine(SVM), world wide web consortium(W3C ), web ontology language(OWL).

Vhatkar Varsha Vilasrao is with Department of Technology, Shivaji University, Kolhapur, Maharashtra, India (varsha.vhatkar@gmail.com).
P. C. Bhaskar is with Department of Electronics, Shivaji University, Kolhapur, Maharashtra, India (pxbhaskar@yahoo.co.in).


Cite: Vhatkar Varsha Vilasrao and P. C. Bhaskar, "Mining Web Data Based on Ontology and SWRL," International Journal of Information and Education Technology vol. 2, no. 5, pp. 464-467, 2012.

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