Research Article Open Access

SEMANTIC ENHANCED UDDI USING OWL-S PROFILE ONTOLOGY FOR THE AUTOMATIC DISCOVERY OF WEB SERVICES IN THE DOMAIN OF TELECOMMUNICATION

R. Lakshmana Kumar1 and M. S. Irfan Ahmed1
  • 1 , India

Abstract

The current web services which are evolved in the telecom domain such as payment web services, Yellow pages web services, operator web services, weather web services are failed to bring down the semantic as they used to prove its syntactic description. The reason for bringing down the semantic description into already existing web services will invoke certain operations like automatic discovery of web services, automatic composition of the necessary services, automatic invocation of web services and automatic monitoring of the execution process. At present the web services in the domain of telecommunication is following the parlay X standard. The parlay X has given a set of standard web service API’s for the telecom. The each of the services will have its own interface, services and types In this study in order to bring down the semantic representation we have proposed an idea to enable the semantic through the upper ontology like OWL-S and then how to map OWL-S to UDDI registry and also we have discussed some of the issues that we have faced while mapping OWL-S into UDDI registry. So the approach which we are going to propose improves the accuracy of the telecommunication network services description, discovery and matching, unifies the semantic representation of telecommunications network and Internet services.

Journal of Computer Science
Volume 10 No. 8, 2014, 1418-1422

DOI: https://doi.org/10.3844/jcssp.2014.1418.1422

Submitted On: 31 July 2013 Published On: 20 March 2014

How to Cite: Kumar, R. L. & Ahmed, M. S. I. (2014). SEMANTIC ENHANCED UDDI USING OWL-S PROFILE ONTOLOGY FOR THE AUTOMATIC DISCOVERY OF WEB SERVICES IN THE DOMAIN OF TELECOMMUNICATION. Journal of Computer Science, 10(8), 1418-1422. https://doi.org/10.3844/jcssp.2014.1418.1422

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Keywords

  • ParlayX
  • OWL-S
  • UDDI
  • Upper Ontology