Discovery and scoring of semantic web services based on client requirement(s) through a Semantic Search Agent

Abstract

This paper shows a searching mechanism to discover Semantic Web Services satisfying client requirements. The increase in web services and lack of semantic base in search mechanisms of UDDI make it difficult for clients to find a required web service. We developed a system which uses a Semantic Search Agent (SSA) to discover required web services from web and selects them according to the client requirements then presents them as a result page. The system uses Ontology Web Language for services (OWL-S), which allows semantic description of web services and hence, the Semantic Search Agent is able to understand predefined concepts of Semantic Web Services, extract necessary information and decide on the requirement of a service for a client. The system combines complimentary aspects of two research topics (Smart Web Query Engine and Matchmaking Algorithm of OWL-S/UDDI Matchmaker) to facilitate the provision of web services to a client.