Abstract

With the huge amount of information available online the World Wide Web is a fertile area for data mining research. The Web has become a major vehicle in performing research and education related activities for researches and students. Web mining is the use of data mining technologies to automatically interact and discover information from web documents, which can be in structured, unstructured or semi- structured form. We present an enterprise framework regarding semantic web mining in distance learning, 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 long distance educational information systems and standards in the educational field. For on line distance 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 in distance learning. Since the majority of the online data considered as private data we need various mechanism for privacy preservation and control over the online presence data. We propose privacy protection in semantic web mining using role back access control.

References

• Ian Horrocks, Peter F. Patel Schneider, Three Theses of Representation in the Semantic Web, ACM, 2003
• Stefan Decker, Frank van Harmelen, Jeen Broekstra,Michael Erdmann, Dieter Fensel, Ian Horrocks , Michel Klein, Sergey Melnik ,The Semantic Web - on the respective Roles of XML and RDF, IEEE 2006
• The semantic web: Roles of XML and RDF, STEFAN DECKER AND SERGEY MELNIK, FRANK VAN HARMELEN, DIETER FENSEL, AND MICHEL KLEIN JEEN BROEKSTRA MICHAEL ERDMANN IAN HORROCKS,IEEE Internet Computing, October 2000, vol. 15, nr. 3, pgs. 63--74.
• Nigel Shadbolt and Wendy Hall, Tim Berners-Lee, The Semantic Web Revisited, Internet Computing, 2006
• Kiavash Bahreini and Atilla Elici,SDISSASA: A multiagent-Based web mining via semantic access to Web resources in Enterprise Architecture,IEEE 2008
• Mao-sang Lin, Hui Zhang, Zhang Gua Yo, An ontology for supporting data mining process, IMACS CESA, 2006
• Pance Panov, Larisa N. Soldatova, OntoDM: An Ontology of Data Mining,IEEE International Conference on Data Mining Workshops, 2008
• Zhang Yofeng, Wu Jinhong, Wang Cuibo, Automatic Competitive Intelligence Collection Based On Semantic web mining IEEE 2007
• Chang-xin Song, Ke Ma ,Applications of Data Mining in the Education resource based on XML, International Conference on Advanced Computer Theory and Engineering, 2008
• Kiavash Bahereini and Atilla Elci ,A New Software Architecture for J2EE enterprise environments via semantic access to web mining by distributed intelligent software agents, IEEE international software and Applications conference, 2008
• Weider D. Yu, Soumya R. Jonnalagadda ,Semantic web and mining in healthcare, IEEE 2006
• Categorization and Clustering of XML Documents, Ludovic Denoyer and Patrick Gallinari Report on the XML Mining Track at INEX 2007
• An Immune-based Model for Web Data Mining Wang Feng Xuwei Li Zhu Hong (© 2005 IEEE Xplore
• An Evolutionary Algorithm to Optimize Web Document Retrieval André L. Vizine1, Leandro N. de Castro1 & Ricardo R. Gudwin2 @ 2005 IEEE.
• Jung-Won Lee, Kiho Lee, Won Kim; Preparations for Semantics- Based XML Mining in @2001 IEEE Xplore
• A Flexible Structured-based Representation for XML Document Mining Anne-Marie Vercoustre, Mounir Fegas, Saba Gul, and Yves Lechevallier; rXiv:cs/0607012v1 [cs.IR] 5 Jul 2006