Reconciliation and Integration of Legacy ERP System Based on Ontology Learning

Abstract

In recent years, an increasing corporations plan to develop Business Intelligence (BI) systems for achieving central-management of data and intelligent decision-making driven by the requirement of the business. However, it’s not an easy task to replace all parts of legacy ERP systems, especially for some Small Medium Enterprise (SMEs), they don’t have enough budget for upgrading all of the legacy ERP systems. Hence, it is necessary for them to build a BI system based on the integration of existing legacy ERP systems in the current dynamic and increasingly competitive business environment. Ontologies are viewed as an effective technology to integrate different data from multiple heterogeneous. However, the results of the integration are determined by the quality of the ontology largely, while the quality of the ontology is limited by the experience of the ontology experts. The process of constructing ontology is a task that requires a lot of time and effort. Ontology learning framework (OLF) was proposed to provide a (semi-) automated tools and method for ontology modelling, and to achieve the integration of various data for semantic Web. In this proposal, a legacy ERP system integration framework based on ontology learning (OL) is proposed to achieve the integration of the various legacy ERP systems effectively and efficiently.