Ontology And Rule Based Web Service Integration Research And Implementation

With the rapid development of enterprise application integration, web based applications are developing from localization to globalization, from centralized to distributed, from B2C mode to B2B mode, and the requirements of enterprise business are getting more complicated. Traditional component based programming model cannot solve the problem of mutual operation of applications on different platforms and programming languages. Web service, a new distributed computing model, is the best solution to solve the problem with its merits of self-explaining and independent of platforms and programming languages.As the newest research of web technology, the goal of web service is to integrate and communicate between different individuals and organizations seamlessly, and create a loosely coupled web applications on the web. And with the research of web service deeper and specifications of it more robust, web service has been the core of the new generation of e-business, and more and more enterprises are publishing and using Web Services. But component based single web service has limited functions and cannot meet the complex requirements of users. But to enable the automatic and intelligent interaction of services distributed on the web, the problem of information incompatibility, multiplicity of information semantic and relationship un-standardized must be solved.Semantic web is the extension of today's web, which is called web 3.0. The goal of semantic web is to enrich the information on the web with computer understandable semantic, and then to satisfy requirements of enterprise applications on effective access and query of distributed information on the web. It makes the internal information full of defined semantic which enables the better cooperation of machine and human being. It is a good solution to import ontology as semantic container into web service.This paper depicts an ontology and jess rule engine based semantic web service solution. It first push forward an algorithm to get ontology from relational data source, then extend service description with semantic information, and uses jess rule as underlying business logic implementation. Finally it discusses the application of this solution in orient youth web site.