Effective semantic Web services discovery using usability

Abstract

As web resources and information are becoming numerous, many researchers have studied automated processing of the resources and information. In addition, semantic Web services make the web services represented to be machine-interpretable through the Semantic web. Semantic Web services discovery systems, such as matchmaker, find proper semantic Web services for a client. However, it is mainly focused on semantic similarities between description instances and requests containing single input and output. In our design, annexed algorithm improves matching algorithm to arrange the result advertisements according to the client's conveniences for executing the web services; less re-scheduling, less meaningless data. It also offers effective discovery services especially for the request with multiple inputs and outputs and in condition that there are no perfectly matched Web services or available Web services. Moreover, we implement the Matching Engine in URCSD (Semantic Web Services Discovery for URC) for an intelligent agent, such as URC (Ubiquitous Robotic Companion), through the proposed algorithm. Therefore, we expect the system provides effective discovery services for network based robotics and intelligent agents.