E-commerce-based web applications are designed to facilitate data interchange and data exchange collaboration. Meaningful and useful information is extracted in order to process and integrate the web-based information. In this paper, we show how ontological information improves the search process with a high degree of autonomy to the web services, thus benefitting the customers.

The semantic web is an evolving development of World Wide Web, where information is given with well-defined meaning for better enabling people to work in cooperation (Heidari et al., 2009). It is a client server model, which is the future computing model. In semantic web, the semantics of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. In any e-commerce application, the customers may be interested in buying and selling the goods across the web. Purchasing of goods of interest is a difficult task in e-commerce application. For successful purchasing, data is to be exchanged in a meaningful way, and hence it is necessary to describe the data using some knowledge representation methods (Jing et al., 2007). Although knowledge representation can solve many problems, very little attempt has been made towards utilizing this knowledge information for web-based e-commerce application. Hence, in this paper, an attempt is made to bridge the gap.

The paper is organized as follows: Section 1 introduces e-commerce; Section 2 deals with semantic web; Section 3 deals with RDF; and Section 4 deals with the implementation aspects. The last section presents the conclusion.

Computer Sciences Journal, Business Intelligence, Enterprise Systems, Enterprise Resource Planning, Customer Relationship Management, CRM, Business Operations Management, Business Process Mining, Finite State Machine, Transactional Information System, Genetic Algorithms, Decision Making Process, Data Mining Tools, Online Analysis Processing, OLAP, Artificial Intelligence.