Cardinality heterogeneities in Web service composition: Issues and solutions

TL;DR

This paper addresses data cardinality heterogeneities in Web service compositions by developing a theoretical framework and a constraint logic programming-based solution for cardinality mediation.

Contribution

It introduces a formal framework for understanding cardinality issues and proposes a novel mediation method using constraint logic programming.

Findings

Framework effectively models cardinality heterogeneities

Proposed solution successfully mediates data cardinality issues

Enhances reliability of Web service compositions

Abstract

Data exchanges between Web services engaged in a composition raise several heterogeneities. In this paper, we address the problem of data cardinality heterogeneity in a composition. Firstly, we build a theoretical framework to describe different aspects of Web services that relate to data cardinality, and secondly, we solve this problem by developing a solution for cardinality mediation based on constraint logic programming.