In service-oriented architectures (SOA) the process of service discovery involves the matchmaking between service advertisements and service requests. Most approaches assume that both service advertisements and service requests are expressed using the same description language as well as domain ontologies. However, in large-scale open environments that assumption does not hold. In this paper we present a method that addresses the semantic mismatches at service description level. In particular, we focus on the alignment of service description models and service matchmaking on the unified request and advertisements. We propose a matchmaking method that encompasses different semantic, syntactic and hybrid service description languages.
In large, open environments, service discovery has to face the challenge of heterogeneity. Service advertisements published by different organizations or individuals may differ in their description models, thus expressiveness levels. Even on the same expressiveness level, organizations may use assorted domain ontologies. In addition, a service discovery tool may not have a global view of all service advertisements in the system. Unfortunately, most contemporary service discovery approaches rely on these key factors. This paper presents a method that addresses the mismatch problem in description models. A neutral model is proposed in this work for aligning different service description models. A matchmaking method that encompasses different semantic, syntactic and hybrid service description languages based on this neutral model is also presented. Implementation and evaluation of the proposed method showed a satisfactory result.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.