IADIS International Journal on Computer Science and Information Systems

Published by IADIS (International Association for Development of the Information Society) • ISSN (Online): 1646-3692 • ISSN (Print): 1646-3692
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Intelligent and Self-adapting Integration Between Machines and Information Systems

Heiko Kern *
Fred Stefan. University of Leipzig *
Business Information Systems *
Leipzig Researcher *
Germany. Researcher *
* Vladimir Dimitrieski. University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia. A BSTRACT Increasing automation in the manufacturing industry requires a comprehensive integration of machines and business information systems. Driven by the Internet of Things or the high-tech strategy Industry 4.0, an efficient integration plays in this domain an increasing role. Despite powerful technologies, the integration is a challenging and labor-intensive task. To walk with the development, machines and information systems need flexible and powerful integration mechanisms with self-configuring and self-adapting features. The ideal conception would be a plug & produce mechanism, which follows the USB plug & play principle. In this paper, we address this problem and present a novel approach for a structured, automated and reusable integration of information systems and machines. The approach is realized as a framework which allows the development of transformations between different data schemas. Accordingly, the framework is positioned between machine and application layer. The framework consists of a declarative mapping language with a graphical notation and an intelligent solution for connecting different systems. In this contribution, we give an overview of the framework components and demonstrate the approach in a practical use case. KEYWORDS Integration, Mapping, Transformation, Automation 1. INTRODUCTION Increasing automation in the manufacturing industry requires a comprehensive integration of machines and business application systems. According to emerged visions of Internet of Things (Mukhopadhyay 2014) or Industry 4.0 (Dujin et al. 2014), continuous integration is an essential requirement for the implementation of common business processes. The realization of this guiding principle requires a horizontal and vertical integrated information flow (Portugal)
* Vladimir Dimitrieski. University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia. A BSTRACT Increasing automation in the manufacturing industry requires a comprehensive integration of machines and business information systems. Driven by the Internet of Things or the high-tech strategy Industry 4.0, an efficient integration plays in this domain an increasing role. Despite powerful technologies, the integration is a challenging and labor-intensive task. To walk with the development, machines and information systems need flexible and powerful integration mechanisms with self-configuring and self-adapting features. The ideal conception would be a plug & produce mechanism, which follows the USB plug & play principle. In this paper, we address this problem and present a novel approach for a structured, automated and reusable integration of information systems and machines. The approach is realized as a framework which allows the development of transformations between different data schemas. Accordingly, the framework is positioned between machine and application layer. The framework consists of a declarative mapping language with a graphical notation and an intelligent solution for connecting different systems. In this contribution, we give an overview of the framework components and demonstrate the approach in a practical use case. KEYWORDS Integration, Mapping, Transformation, Automation 1. INTRODUCTION Increasing automation in the manufacturing industry requires a comprehensive integration of machines and business application systems. According to emerged visions of Internet of Things (Mukhopadhyay 2014) or Industry 4.0 (Dujin et al. 2014), continuous integration is an essential requirement for the implementation of common business processes. The realization of this guiding principle requires a horizontal and vertical integrated information flow (Portugal)
* Vladimir Dimitrieski. University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia. A BSTRACT Increasing automation in the manufacturing industry requires a comprehensive integration of machines and business information systems. Driven by the Internet of Things or the high-tech strategy Industry 4.0, an efficient integration plays in this domain an increasing role. Despite powerful technologies, the integration is a challenging and labor-intensive task. To walk with the development, machines and information systems need flexible and powerful integration mechanisms with self-configuring and self-adapting features. The ideal conception would be a plug & produce mechanism, which follows the USB plug & play principle. In this paper, we address this problem and present a novel approach for a structured, automated and reusable integration of information systems and machines. The approach is realized as a framework which allows the development of transformations between different data schemas. Accordingly, the framework is positioned between machine and application layer. The framework consists of a declarative mapping language with a graphical notation and an intelligent solution for connecting different systems. In this contribution, we give an overview of the framework components and demonstrate the approach in a practical use case. KEYWORDS Integration, Mapping, Transformation, Automation 1. INTRODUCTION Increasing automation in the manufacturing industry requires a comprehensive integration of machines and business application systems. According to emerged visions of Internet of Things (Mukhopadhyay 2014) or Industry 4.0 (Dujin et al. 2014), continuous integration is an essential requirement for the implementation of common business processes. The realization of this guiding principle requires a horizontal and vertical integrated information flow (Portugal)
* Vladimir Dimitrieski. University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia. A BSTRACT Increasing automation in the manufacturing industry requires a comprehensive integration of machines and business information systems. Driven by the Internet of Things or the high-tech strategy Industry 4.0, an efficient integration plays in this domain an increasing role. Despite powerful technologies, the integration is a challenging and labor-intensive task. To walk with the development, machines and information systems need flexible and powerful integration mechanisms with self-configuring and self-adapting features. The ideal conception would be a plug & produce mechanism, which follows the USB plug & play principle. In this paper, we address this problem and present a novel approach for a structured, automated and reusable integration of information systems and machines. The approach is realized as a framework which allows the development of transformations between different data schemas. Accordingly, the framework is positioned between machine and application layer. The framework consists of a declarative mapping language with a graphical notation and an intelligent solution for connecting different systems. In this contribution, we give an overview of the framework components and demonstrate the approach in a practical use case. KEYWORDS Integration, Mapping, Transformation, Automation 1. INTRODUCTION Increasing automation in the manufacturing industry requires a comprehensive integration of machines and business application systems. According to emerged visions of Internet of Things (Mukhopadhyay 2014) or Industry 4.0 (Dujin et al. 2014), continuous integration is an essential requirement for the implementation of common business processes. The realization of this guiding principle requires a horizontal and vertical integrated information flow (Portugal)
* Vladimir Dimitrieski. University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia. A BSTRACT Increasing automation in the manufacturing industry requires a comprehensive integration of machines and business information systems. Driven by the Internet of Things or the high-tech strategy Industry 4.0, an efficient integration plays in this domain an increasing role. Despite powerful technologies, the integration is a challenging and labor-intensive task. To walk with the development, machines and information systems need flexible and powerful integration mechanisms with self-configuring and self-adapting features. The ideal conception would be a plug & produce mechanism, which follows the USB plug & play principle. In this paper, we address this problem and present a novel approach for a structured, automated and reusable integration of information systems and machines. The approach is realized as a framework which allows the development of transformations between different data schemas. Accordingly, the framework is positioned between machine and application layer. The framework consists of a declarative mapping language with a graphical notation and an intelligent solution for connecting different systems. In this contribution, we give an overview of the framework components and demonstrate the approach in a practical use case. KEYWORDS Integration, Mapping, Transformation, Automation 1. INTRODUCTION Increasing automation in the manufacturing industry requires a comprehensive integration of machines and business application systems. According to emerged visions of Internet of Things (Mukhopadhyay 2014) or Industry 4.0 (Dujin et al. 2014), continuous integration is an essential requirement for the implementation of common business processes. The realization of this guiding principle requires a horizontal and vertical integrated information flow (Portugal)

Abstract

This peer-reviewed paper presents original scientific research in computer science and information systems, addressing "Intelligent and Self-adapting Integration Between Machines and Information Systems". The authors discuss theoretical foundations, system architectures, empirical evaluations, and practical implications for modern digital ecosystems. Published in IJCSIS Vol. 10 No. 1 (2015).

Keywords

Integration Mapping Transformation Automation
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Funding: This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest: The authors declare no competing financial or institutional interests.
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License: Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
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Kern, et al. (2015). Intelligent and Self-adapting Integration Between Machines and Information Systems. IADIS International Journal on Computer Science and Information Systems, 10(1). https://doi.org/10.33965/ijcsis_2015_v10i1_05
Kern, et al. "Intelligent and Self-adapting Integration Between Machines and Information Systems." IADIS International Journal on Computer Science and Information Systems, vol. 10, no. 1, 2015. https://doi.org/10.33965/ijcsis_2015_v10i1_05
Kern, et al. "Intelligent and Self-adapting Integration Between Machines and Information Systems." IADIS International Journal on Computer Science and Information Systems 10, no. 1 (2015). https://doi.org/10.33965/ijcsis_2015_v10i1_05