Authors:
Chuangtao Ma
and
Bálint Molnár
Affiliation:
Faculty of Informatics, Eötvös Loránd University, Budapest 1117 and Hungary
Keyword(s):
Integration Framework, Ontology Learning, Legacy ERP Systems, Data Integration.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Legacy Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Organisational Issues on Systems Integration
;
Symbolic Systems
Abstract:
In the past decades, there are various legacy ERP systems that exist in different departments or sub-organizations within the enterprise. The majority of the legacy ERP systems are heterogeneous systems, that may be developed by different software companies under different development framework, which create a big challenge for organizations to develop and implement centralized and integrated management systems based on their existing legacy ERP systems to respond the dynamic business environment with agility. Ontologies are viewed as an effective technology to integrate different data from multiple heterogeneous sources, the ontology learning methods were proposed to achieve (semi-)automated construction of ontologies. This paper proposes a general framework for legacy ERP system integration based on ontology learning to tackle this challenge. Initially, the related literature is reviewed from the perspective of system integration and ontology learning, then an integration framework
based on ontology learning is given, and the basic workflow and ontology learning process are analysed and illustrated.
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