Abstract
Within the numerous and heterogeneous web services offered through different sources, automatic web services composition is the most convenient method for building complex business processes that permit invocation of multiple existing atomic services. The current solutions in functional web services composition lack autonomous queries of semantic matches within the parameters of web services, which are necessary in the composition of large-scale related services. In this paper, we propose a graph-based Semantic Web Services composition system consisting of two subsystems: management time and run time. The management-time subsystem is responsible for dependency graph preparation in which a dependency graph of related services is generated automatically according to the proposed semantic matchmaking rules. The run-time subsystem is responsible for discovering the potential web services and nonredundant web services composition of a user's query using a graph-based searching algorithm. The proposed approach was applied to healthcare data integration in different health organizations and was evaluated according to two aspects: execution time measurement and correctness measurement.
Highlights
Web services (WS) composition is a method used to combine existing WS from heterogeneous systems to build more complicated business processes that match with user requirements
We propose a graph-based Semantic Web Services (SWS) composition system and introduce a dependency graph preparation approach that aims to resolve the problem of semantic discrepancies through the use of semantic matchmaking rules to automatically generate the WS dependency graph
We presented a semantic WS composition and searching system, which is divided into two subsystems: the management-time subsystem and run-time subsystem
Summary
Web services (WS) composition is a method used to combine existing WS from heterogeneous systems to build more complicated business processes that match with user requirements. In developing systems through WS composition, the most widely used business process execution languages that specify the services involved in the composition’s execution environment are Web Services Business Process Execution Language (WSBPEL) [2] or Web Service Choreography Interface (WSCI) [3] These technologies do not offer well-defined semantic and expressive capability for solving semantic service discrepancies that occur due to disagreement in the meaning, interpretation, or intended use of service information. In most cases, this situation drives the challenge of creating an automated WS composition system that focuses on solving the problems of WS heterogeneities.
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