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A Semantic Based Framework for Facilitating Integration in ERP Systems

Published: 09 May 2016 Publication History

Abstract

Enterprise Resource Planning (ERP) is a business management system that integrates all aspects found in an enterprise. However, integrating ERP with other enterprise applications is considered a costly and challenging problem. The main reason behind this problem is the heterogeneity of information contents and the semantics generated from various sources. This can be tackled by using semantic web technology to achieve interoperability among software systems. In this paper, a framework is proposed to facilitate ERP integration with other enterprise applications through building a domain specific semantic business logic layer. In this logic layer, Ontology is used to standardize the business process, eliminates semantic conflicts of knowledge, and allows knowledge to be shared and exchanged. Also, a semantic annotation between business process models is utilized to provide integration between business processes represented by different modeling notations. Through our framework, two types of alignments are studied, namely horizontal alignment and vertical alignment. Horizontal alignment aims to identify correspondences between process models to allow the business process to be shared. Meanwhile, vertical alignment seeks to verify compatibility between collaborative business processes to achieve integration. A simulation experiment is performed in the proposed framework for complaint handling case study taken from different systems, and a behavior consistency analysis is performed. The results of the simulated experiment yield in improvement in consistency from 83.4% to 98%. Simulation results also show an improvement of precision and recall value.

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INFOS '16: Proceedings of the 10th International Conference on Informatics and Systems
May 2016
347 pages
ISBN:9781450340625
DOI:10.1145/2908446
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 09 May 2016

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Author Tags

  1. Business Process Alignment
  2. Data Integration
  3. ERP
  4. Ontology
  5. Semantic annotation

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