Web Mining for an Academic Portal: The case of Al-Imam Muhammad Ibn Saud Islamic University
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
This paper highlights the role of web mining in building a web retrieval system to extract hidden knowledge for the Semantic Web by using association rule mining techniques to find a frequent itemset for the Al-Imam University portal. An experimental method is used in this paper. The proposed system builds an information system in which web (data) mining in Semantic-Web technology is applied using the correlation base association rule algorithm. The steps those are necessary for building ontology for an academic portal by using the OntoStudio tool. Using the OntoPortal system will be a successful way to build a semantic portal using a large itemset as the result of web mining to build and classify ontologies for a semantic portal.
Authors and Affiliations
Hamad Ibrahim Alomran, PhD
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