Home // International Journal On Advances in Software, volume 12, numbers 1 and 2, 2019 // View article
Authors:
Hicham Assoudi
Hakim Lounis
Keywords: Schema Matching; Systemic Approach; Complex Adaptive Systems; Agent-Based Modelling and Simulation
Abstract:
In this work, we have investigated the use of Complex Adaptive System theory, derived from systemic thinking, to seek innovative responses to the challenges that Automatic Schema Matching approaches always face (e.g., complexity, uncertainty). We propose a conceptual model for the Simulation of Automatic Schema Matching, and we describe how we modeled it using the approach of Agent-Based Modeling and Simulation. This effort gives rise to a tool (prototype) for schema matching. A set of experiments demonstrates the viability of our approach on two main aspects: (i) effectiveness (increasing the quality of the found alignments) and (ii) efficiency (reducing the effort required for this efficiency). The results obtained have first provided proof of the viability of our approach, but also demonstrated a significant paradigm shift in this domain, where automatic schema matching has never been addressed by adopting systemic thinking.
Pages: 91 to 102
Copyright: Copyright (c) to authors, 2019. Used with permission.
Publication date: June 30, 2019
Published in: journal
ISSN: 1942-2628