Um Middleware adaptável para descoberta, composição e invocação automâtica de serviços web semânticos

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 use, such as service creation, selection, discovery, composition, invocation. For that, the Semantic Web Services community has been devoted to creating tools and techniques that explore the semantic information of these services. However, the state of the art shows that the aplications based on Semantic Services have their own characteristics, interests and priorities. This diversity directly influences the choice of techniques and technologies for handling services, ie, a single tool can have satisfactory results in a particular application and is not appropriate for others. Moreover, these applications can evolve, which implies the need of changing these tools. Aiming to solve this problem, this work proposes an adaptive middleware for managing discovery and invocation of services capable of integrating different tools and techniques according to application needs. In order to validate the work, a case study with Semantic Web Services of education domain is presented, with this, it was noted that the proposed Middleware is efficient for performing the processes of discovery, composition and invocation of services in an adaptable manner.