Service Description Based on CW for Pervasive Service Discovery

Current existing service discovery mechanisms are lack of representation about 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 are considered as one of the essential factors to achieve the vision of pervasive computing. This new service description 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 computing with words (CW), which is defined to be an extension of fuzzy logic. Third, the architecture has ontology support which makes the service descriptions be understandable by all the participants.