Similartity Network For Semantic Web Services Substitution

TL;DR

This paper introduces a network-based method for Web services substitution, modeling services as nodes and their similarities as links, enabling detailed analysis of substitutable services to improve automation and fault tolerance.

Contribution

It proposes a novel network approach using similarity measures between Web services operations, advancing beyond classification methods for service substitution.

Findings

Network approach provides detailed analysis of substitutable services.

Four similarity measures effectively model Web services relationships.

Evaluation on benchmark data demonstrates the method's effectiveness.

Abstract

Web services substitution is one of the most challenging tasks for automating the composition process of multiple Web services. It aims to improve performances and to deal efficiently with Web services failures. Many existing solutions have approached the problem through classification of substitutable Web services. To go a step further, we propose in this paper a network based approach where nodes are Web services operations and links join similar operations. Four similarity measures based on the comparison of input and output parameters values of Web services operations are presented. A comparative evaluation of the topological structure of the corresponding networks is performed on a benchmark of semantically annotated Web services. Results show that this approach allows a more detailed analysis of substitutable Web services.