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Content Based Service Discovery in Semantic Web Services Using WordNet

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 7135)

Abstract

The main aspect of Service Oriented Architecture (SOA) is the ability to automatically discover and invoke web services. In web services the syntactic nature of the WSDL forced UDDI to feature only keyword-based matches that often leads to the discovery of more irrelevant services, which ultimately reduce the precision and recall of the search. Semantic web services had been proposed to overcome the issues such as interface heterogeneity and keyword-based syntactic search. The service discovery methods in semantic web services generally require a user query which is used to match the Inputs, Outputs, Precondition and Effect (IOPE) present in the service profile of the OWL-S. This type of matching restricts the users to use the queries that must be of the same context as that of the IOPEs present in the OWL-S. In this work a content-based semantic discovery architecture is proposed, in which the users can use their desired text document as input. The text document after passing through several refinement processes, the nouns are separated. This approach uses the WordNet lexical database, to find the meaning of the extracted nouns which are used for the discovery.

Keywords

  • Semantic Web Services
  • Discovery
  • Ontology
  • Discovery
  • WordNet

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© 2012 Springer-Verlag Berlin Heidelberg

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Paulraj, D., Swamynathan, S. (2012). Content Based Service Discovery in Semantic Web Services Using WordNet. In: Thilagam, P.S., Pais, A.R., Chandrasekaran, K., Balakrishnan, N. (eds) Advanced Computing, Networking and Security. ADCONS 2011. Lecture Notes in Computer Science, vol 7135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29280-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-29280-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29279-8

  • Online ISBN: 978-3-642-29280-4

  • eBook Packages: Computer ScienceComputer Science (R0)