Ontology Combined Structural and Operational Semantics for Resource-Oriented Service Composition

Resource-oriented Services recently become an enabling technology to integrate and configure information from different heterogeneous systems so as to meet ever-changing environment which not only need the concepts for entities but also require the semantics for operations. By the aim of combining structural and operational semantics agilely, a Semantic Resource Service Model (SRSM) is proposed. Firstly, SRSM describes Entity-Oriented and Transition-Oriented Resource by semantic meta-model which contains data structures and operation semantics. Secondly, by describing structural semantics for Entity-Oriented Resource, heterogonous inputs/outputs of a service can be automatically matched. Thirdly, by describing operational semantics for Transition-Oriented Resource, the service composition sequence can be inferred after ontology reasoning. Then, both Entity-Oriented and Transition-Oriented Resources are encapsulated into composited RESTful service. At last, a case study and several comparisons are applied in a prototype system. The result shows that the proposed approach provides a flexible way for resource-oriented service composition.