SUMMARYCurrently Web Service (WS) systems are based on central registries for publication and discovery. With the growing number and the dynamicity of WS, this centralized approach rapidly becomes inefficient and impractical. Furthermore, existing WS standards such as WS Description Language (WSDL) and Universal Description, Discovery and Integration (UDDI) do not support semantic description which is essential for the automation of several WS-related functions such as discovery, execution and composition. We propose a system that enables efficient Semantic WSs publication and discovery in a fully decentralized network using peer-to-peer technologies. We also propose and evaluate the performances of an enhanced version of Chord protocol that we have called 'enhanced-Chord'.

As a greater number of Web Services are made available today, automatic discovery is recognized as an important task. To promote the automation of service discovery, different semantic languages have been created that allow describing the functionality of services in a machine interpretable form using Semantic Web technologies. The problem is that users do not have intimate knowledge about semantic Web service languages and related toolkits. In this paper, we propose a discovery framework that enables semantic Web service discovery based on keywords written in natural language. We describe a novel approach for automatic discovery of semantic Web services which employs Natural Language Processing techniques to match a user request, expressed in natural language, with a semantic Web service description. Additionally, we present an efficient semantic matching technique to compute the semantic distance between ontological concepts.

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