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Decision Making in Semantic Web Mining


Affiliations
1 Technocrats Institute of Technology, Bhopal, India, Masters in Technology in Information Technology, India
2 Department of IT Truba Institute of Technology, Bhopal, India
3 Technocrats Institute of Technology, Bhopal, India
     

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The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. Web mining is the application of data mining technologies to automatically interact and discover information from web documents, which can be in structured or unstructured form. We present an enterprise framework regarding semantic web mining, which can be used to not only improve the quality of web mining results but also enhances the functions and services and the interoperability of educational information systems and standards in the educational field. For online education system we propose an Ontology-based approach to share online data and retrieve all relevant data about students and their courses. Thus semantic web ontology help build better web mining analysis in educational institute and web mining in-turns helps contract basis more powerful ontology.

Keywords

Semantic Web Mining, Ontology, RDF, XML.
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  • Decision Making in Semantic Web Mining

Abstract Views: 268  |  PDF Views: 1

Authors

Ankita Jain
Technocrats Institute of Technology, Bhopal, India, Masters in Technology in Information Technology, India
Illyas Khan
Department of IT Truba Institute of Technology, Bhopal, India
Bhupendra Verma
Technocrats Institute of Technology, Bhopal, India

Abstract


The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. Web mining is the application of data mining technologies to automatically interact and discover information from web documents, which can be in structured or unstructured form. We present an enterprise framework regarding semantic web mining, which can be used to not only improve the quality of web mining results but also enhances the functions and services and the interoperability of educational information systems and standards in the educational field. For online education system we propose an Ontology-based approach to share online data and retrieve all relevant data about students and their courses. Thus semantic web ontology help build better web mining analysis in educational institute and web mining in-turns helps contract basis more powerful ontology.

Keywords


Semantic Web Mining, Ontology, RDF, XML.