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