Agriculture Emergency Decision System Based on Semantic Web Services

The emergency decision making units which embrace multi-inputs and multi-outputs must be valid interoperability. The semantic Web services can search and evoke over the Internet quickly. And discover re-usable and combinable distributed services effectually. In this paper we propose a new architecture that utilizing semantic Web services in the emergency decision support system. This architecture allows us to develop complex, large-scale and globally distributed systems. At the heart of this framework is the division of emergency decision multiple units architecture which consists of the interface layer, the decision making layer and the information layer. In the decision making layer, global data envelopment analysis (GDEA) is used to evaluate every decision making unit and provide appropriate solutions for decision makers. This paper exploits R-contiguous matching regulation to cope with the semantic matching in information layer.