CFP last date
15 May 2024
Call for Paper
June Edition
IJAIS solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 15 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Analysis of ANN Training Algorithms for Hand Geometry-Based Access Control

Kazeem B. Adedeji Apena Waliu O. Adu Michael R.
Random Articles
Reseach Article

An Ontology Framework based on Web Usage Mining

by Ahmed Sultan Al-hegami, Mohammed Salem Kaity
journal cover thumbnail

International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 9
Year of Publication: 2014
Authors: Ahmed Sultan Al-hegami, Mohammed Salem Kaity
10.5120/ijais14-451123

Ahmed Sultan Al-hegami, Mohammed Salem Kaity . An Ontology Framework based on Web Usage Mining. International Journal of Applied Information Systems. 6, 9 ( March 2014), 28-35. DOI=10.5120/ijais14-451123

@article{ 10.5120/ijais14-451123,
author = { Ahmed Sultan Al-hegami, Mohammed Salem Kaity },
title = { An Ontology Framework based on Web Usage Mining },
journal = { International Journal of Applied Information Systems },
issue_date = { March 2014 },
volume = { 6 },
number = { 9 },
month = { March },
year = { 2014 },
issn = { 2249-0868 },
pages = { 28-35 },
numpages = {9},
url = { https://www.ijais.org/archives/volume6/number9/607-1123/ },
doi = { 10.5120/ijais14-451123 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T18:53:15.006011+05:30
%A Ahmed Sultan Al-hegami
%A Mohammed Salem Kaity
%T An Ontology Framework based on Web Usage Mining
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 6
%N 9
%P 28-35
%D 2014
%I Foundation of Computer Science (FCS), NY, 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 .

References
  1. Abraham A. , " Business Intelligence from Web Usage Mining" . Journal of Information & Knowledge Management, c Publishing Co. Vol. 2, No. 4 (2003) 375-390.
  2. Yilmaz H. ," Using Ontology Based Web Usage Mining And Object Clustering For Recommendation" . school of natural and applied sciences of middle east technical university. ( May 2010).
  3. Liu B. , "Web Data Mining Exploring Hyperlinks, Contents, and Usage Data" Springer-Verlag Berlin Heidelberg (2007)
  4. Trousse B. , Aufaure M. , Grand B. , Lechevallier Y. , Masseglia F. , " Web Usage Mining for Ontology Management ", IGI Global , (2008).
  5. Arayaa S. , Silvab M. , Weber R. , " A methodology for web usage mining and its application to target group identification" Fuzzy Sets and Systems 148 (2004) 139–152.
  6. Berendt B. , Mobasher B. , & Spiliopoulou M. , "Web Usage Mining for E-Business Applications", ECML/PKDD-2002 Tutorial, ( 2002 ).
  7. Eirinaki M. , Vazirgiannis M. , "Web Mining for Web Personalization", ACM, http://doi. acm. org/10. 1145/643477. 643478 (2003) .
  8. Lim E. and Sun A. , "Web Mining - The Ontology Approach". Research Collection School of Information Systems. Paper 900 http://ink. library. smu. edu. sg/sis_research/900 . (2005)
  9. Hu Xiaohua, Cercone N. , "A Data Warehouse/Online Analytic Processing Framework for Web Usage Mining and Business Intelligence Reporting " ,
  10. Han J. & Kamber M. "Data Mining: Concepts and Techniques", 2nd Edition, University of Illinois at Urbana-Champaign. Harcourt India Private Limited. (2001) .
  11. Ontology - From Wikipedia, the free encyclopedia http://en. wikipedia. org/wiki/Ontology.
  12. protege is a free, open-source ontology editor http://protege. stanford. edu/
  13. OWL Web Ontology Language , Overview ,W3C Recommendation http://www. w3. org/TR/owl-features/
  14. Davulcu, H. , S. Vadrevu, S. , & Nagarajan, S. ,"OntoMiner: Bootstrapping and Populating Ontologies from Domain Specific Websites" . Proceedings of the First International Workshop on Semantic Web and Databases (SWDB 2003), Berlin. (2003).
  15. Agirre, E. , Ansa, O. , Hovy, E. , & Martinez, D. "Enriching very large ontologies using the WWW" . In: Proceedings of ECAI Workshop on Ontology Learning. (2000).
  16. Faatz, A. , & Steinmetz, R. "Ontology enrichment with texts from the WWW" . Semantic Web Mining 2nd Workshop at ECML/PKDD-2002, Helsinki, Finland. (2002).
  17. Navigli, R. , & Velardi, P. "Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites". Computational Linguistics, 30(2), MIT press, pp. 151-179. (2004).
  18. Karoui, L. , Aufaure, M. -A. , & Bennacer, N. , "Ontology Discovery from Web Pages: Application to Tourism" . Workshop on Knowledge Discovery and Ontologies (KDO), collocated with ECML/PKDD, Pisa, Italy, Sept. , pp. 115-120. (2004).
  19. Ben Mustapha, N. , Aufaure, M. -A. , & Baazhaoui-Zghal, H. "Towards and Architecture of Ontological Components for the Semantic Web" . Proceedings of Wism (Web Information Systems Modeling) Workshop, CAiSE 2006, Luxembourg, pp. 22-35. (2006).
Index Terms

Computer Science
Information Sciences

Keywords

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

Powered by PhDFocusTM