A behavior-aware matchmaking model for semantic Web services discovery

As semantic Web services (SWS) rapidly becoming a vigorous technology research area, several large research initiatives have been produced. Meanwhile, a great deal of innovative work on semantic Web services discovery (SWSD) has been done, however, it is critical to meet the requirement of real-world applications. Hence, researchers are still seeking for better correctness and higher efficiency of semantic matchmaking approaches. The traditional work mismatched between requests and advertisements, who have the same concept type of inputs/outputs and different service behaviors. In this paper, we propose a behavior-aware matchmaking model for SWSD, based on the behavior-aware SWS description model, which can be easily presented by extended OWL-S profile. To improve the precision of discovery, we focus on how to describe the relationship between inputs and outputs of a service, and compute the similarity of the relationship as well.