Abstract—The increasing amount of data in many web content systems has resulted in interesting opportunities for data driven knowledge discovery and data mining techniques. The aim of this paper is to propose a web content distributed data mining model) to get the benefits from these opportunities. The proposed model tries to overcome the expected difficulties which are related to these kinds of data. Distributed nature, heterogeneous data, privacy, data learning, and increasing interoperability within secured communications and performance issues are also considered.

Index Terms—Distributed data mining, privacy preserving data mining, ontology, SOAP, web content systems.

Ibrahim S. Alwatban is with the College of Telecom & Information (CTI) , Technical and Vocational Training Corporation (TVTC), Saudi Arabia, Riyadh (e-mail: alwatban@ cti.edu.sa).
Ahmed Z. Emam and Azeddine chikh are with the Information Systems Department , College of Computer and Information Sciences, King Saud University, Saudi Arabia, Riyadh (email: aemam@ksu.edu.sa, az_chikh@ksu.edu.sa).

Cite:Ibrahim S. Alwatban, Ahmed Z. Emam, and Azeddine Chikh, "A New Model for Web Content Distributed Data Mining Based on SOAP and Ontology," International Journal of Computer and Communication Engineering vol. 2, no. 3, pp. 294-298, 2013.