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An Ontology Framework based on Web Usage Mining

Ahmed Sultan Al-hegami, Mohammed Salem Kaity Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2014
© 2013 by IJAIS Journal
10.5120/ijais14-451123
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  1. Ahmed Sultan Al-hegami and Mohammed Salem Kaity. Article: An Ontology Framework based on Web Usage Mining. International Journal of Applied Information Systems 6(9):28-35, March 2014. BibTeX

    @article{key:article,
    	author = "Ahmed Sultan Al-hegami and Mohammed Salem Kaity",
    	title = "Article: An Ontology Framework based on Web Usage Mining",
    	journal = "International Journal of Applied Information Systems",
    	year = 2014,
    	volume = 6,
    	number = 9,
    	pages = "28-35",
    	month = "March",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Finding relevant information on the Internet became a real challenge. This is to some extent due to the volume of data available and the lack of structure in many Web sites. Web usage mining is an important area and fast developing mining on the Internet. The purpose of Web mining is the development of techniques and systems to detect patterns of things and processes on the World Wide Web and the Internet for performance systems that appear to adapt. Ontology is some knowledge that can be used to describe the information on the Web. In this work we propose a framework for generating ontology based on web usage mining . We have implemented all stages of the system which are data acquisition, web mining and ontology creation. Our ontology learning framework proceeds through ontology import, extraction, pruning, refinement, and final review of the ontology .

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Keywords

Data Mining, Web mining, Web usage mining, Web content mining, Web structure mining, Ontology, Clustering, Sequential Pattern.