Towards Soft Computing for Service Discovery

-Current existing service discovery mechanism is lack of dealing with imprecise or vague information of service on semantic level. This paper proposes a novel approach that service advertisements or requests can be expressed in natural language involving linguistic variables, which is considered as an attempt to achieve the vision of soft computing. This new service discovery method has three features by comparing with existing architectures: First, service description is on semantic level, especially allows users to express their requests involving imprecise or vague data in a natural way. Second, the approach is based on the theory of fuzzy logic, which is the principal constituent of soft computing. Third, the architecture has ontology support which makes the service descriptions be understandable by all the participants.