Semantic Web service Discovery Based on Fuzzy Dominated Scores
Hadjila Fethallah, Merzoug Mohammed, Belabed Amine · 2015
In this paper, we focus on the web service discovery problem. Roughly speaking, this issue consists in selecting a set of services that are suitable to a given request. This searching process will be more complicated, when we aim to exploit several matching algorithms, as well as several matching criteria (such as inputs, outputs...). In this work we present a novel hybrid matching approach, that simultaneously uses five matching algorithms. The results (ie. ranked services) given by these components are aggregated into a final list. This later should have a high precision and recall rates, in comparison with the input lists. To get this aim, we adopt a fuzzy aggregating function that sums for each service, the margin separating the current service and those that dominate it. The conducted experiments show that the proposed approach is more effective than the individual matching algorithms.