A New Approach for Semantic Web Matching
This work addresses the need for self-healing and availability in automatic systems by improving service replacement, but it appears incremental as it builds on existing semantic web and matching techniques.
The paper tackles the problem of Web Service replacement in automatic systems by proposing a new semantic web matching approach using bipartite graphs to compare service functionalities and capabilities, resulting in the selection of the most similar candidate service based on maximum matching rates.
In this work we propose a new approach for semantic web matching to improve the performance of Web Service replacement. Because in automatic systems we should ensure the self-healing, self-configuration, self-optimization and self-management, all services should be always available and if one of them crashes, it should be replaced with the most similar one. Candidate services are advertised in Universal Description, Discovery and Integration (UDDI) all in Web Ontology Language (OWL). By the help of bipartite graph, we did the matching between the crashed service and a Candidate one. Then we chose the best service, which had the maximum rate of matching. In fact we compare two services` functionalities and capabilities to see how much they match. We found that the best way for matching two web services, is comparing the functionalities of them.