Article ID Journal Published Year Pages File Type
380983 Engineering Applications of Artificial Intelligence 2011 13 Pages PDF
Abstract

Semantic Web Services domain has gained special attention in academia and industry. It has been adopted as a promise to enable automation of all aspects of Web Services provision and uses, such as service creation, selection, discovery, composition, and invocation. However, the development of intelligent systems based on Semantic Web Services (SWS) is still a complex and time-consuming task, mainly with respect to the choice and integration of technologies. In this paper, we discuss some empirical issues associated with the development process for such systems and propose a systematic way for building intelligent applications based on SWS by providing the development process with steps, techniques and technologies. In addition, one experiment concerning the implementation of a real e-learning system using the proposed approach is described. The evaluation results from this experiment showed that our approach has been effective and relevant in terms of improvements in the development process of intelligent applications based on SWS.

► Using Semantic Web Services enables to build dynamic and intelligent applications. ► We discuss the problems related to building applications based on SWS. ► We introduce a systematic way to build intelligent systems based on SWS. ► We propose the use of Grinv Middleware to integrate the SWS processes. ► We present a case study on e-learning that shows the effectiveness of our proposal.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
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