An Automated Semantic Web Services Discovery Framework Using Contextual Ontology Mapping

International Journal of Computer Science and Technology | Vol. 10, No. 2, February 2008 | pp. 9–16

DOI: 10.46882/2008/IJCST/102011

Research Article

Title: An Automated Semantic Web Services Discovery Framework Using Contextual Ontology Mapping

Names of Authors: Rajesh K. Gupta¹, Sunita M. Sharma¹

Authors’ Affiliations: ¹Department of Information Technology, Delhi Technological University, New Delhi, India

Abstract: The proliferation of Web Services Description Language (WSDL) documents across public repositories has introduced significant complexities in automated software discovery and selection. Traditional keyword-matching mechanisms frequently fail to capture functional semantics, leading to poor discovery precision. This paper introduces an automated Semantic Web Services discovery framework driven by contextual ontology mapping and bipartite graph matching. The proposed engine constructs conceptual profile representations by mapping unstructured WSDL attributes to standardized OWL-S ontologies. A hybrid similarity metric is deployed to evaluate structural, functional, and contextual parameters concurrently. Benchmarking experiments conducted on the OWLS-TC v2.0 collection indicate that our framework achieves an average retrieval precision of 91.4% and a recall rate of 86.3%. Statistical t-test validations confirmed that the framework outperforms traditional UDDI search registries by 22.5% ± 1.4% under high query ambiguity. The semantic mapping execution overhead remains bound to 415 milliseconds per service registration, highlighting operational viability for large-scale enterprise service-oriented architectures.

Keywords: Semantic Web, service discovery, ontology mapping, OWL-S, similarity metrics, service-oriented architecture

Manuscript Timeline: Received November 12, 2007; Revised December 28, 2007; Accepted January 18, 2008; Published February 4, 2008

Citation: Gupta, R. K., & Sharma, S. M. (2008). An Automated Semantic Web Services Discovery Framework Using Contextual Ontology Mapping. International Journal of Computer Science and Technology, 10(2), 9–16.

Subscribe to read the full article: https://www.internationalscholarsjournals.org/subscribe-to-read