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International Symposium on Business Modeling and Software Design

BMSD 2019: Business Modeling and Software Design pp 257–269Cite as

Analysing Enterprise Ontology and Its Suitability for Model-Based Software Development

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 356))

Abstract

Enterprise Ontology (EO) is a well-known theory that captures the essence of an organisation. It is rooted in the Language Action Perspective that acknowledges language as the primary dimension of human cooperative activity. This theory, proposed by Jan Dietz, provides the foundations for designing and engineering of enterprises seen as social information systems. In this paper, we analyse some fundamental aspects of EO using an adapted framework for comparing methodologies. We present also a systematic review of the literature to find how EO and its modelling methodology are used to develop enterprise software applications.

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Notes

  1. 1.

    DEMO stands for Design & Engineering Methodology for Organizations.

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Author information

Authors and Affiliations

  1. INCITE – Centre for Innovation in Science and Technology, IPS, Setúbal, Portugal

    José Cordeiro

  2. Setúbal School of Technology, Polytechnic Institute of Setúbal, Campus do IPS, Setúbal, Portugal

    José Cordeiro

Authors
  1. José Cordeiro
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Correspondence to José Cordeiro .

Editor information

Editors and Affiliations

  1. Department of Information Systems and Technologies, Faculty of Information Sciences, University of Library Studies and Information Technologies, Sofia, Bulgaria

    Boris Shishkov

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Cordeiro, J. (2019). Analysing Enterprise Ontology and Its Suitability for Model-Based Software Development. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2019. Lecture Notes in Business Information Processing, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-030-24854-3_19

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  • DOI: https://doi.org/10.1007/978-3-030-24854-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24853-6

  • Online ISBN: 978-3-030-24854-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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