Searching for Semantic Web Services--a Google Based Approach‪.‬

Abstract: Semantic Web Service discovery and selection are a very time and resources consuming task. They require reasoning support for the matchmaking of the capabilities of services against user defined goals and constituent sub-goals, and for the mediation of the domain knowledge used to describe the different relevant aspects of services. This paper presents a performance study around the number of times the reasoner has to be used in nowadays initiatives. Such study lays the basis for an innovative approach inspired in the popular search engine Google, which tries to improve the performance of the whole process. The main idea is to carry the reasoning as an off-line task, storing the output for later reuse. It also elaborates on the idea of making service descriptions and goals available independently of registries or repositories, i.e. Web pages. Such idea permits to profit, extend and further reuse, well established concepts developed by popular search engines, thus assimilating service discovery and selection to any other type of search engine task. Categories and Subject Descriptors