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Ontology for Semantic Description of Enterprise Architectures

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Book cover Business Information Systems Workshops (BIS 2012)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 127))

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Abstract

The level of complexity involved in real world enterprise systems development is increasing nowadays above the usual tolerance thresholds with the proliferation of open Cloud API’s. These come on top of the usual spaghetti effect of inter-dependencies generated by on-premises components and applications. Within this landscape the Enterprise Architecture (EA) approach may provide the answer to manage the complexity. However, EA is itself a complex process having to accommodate and inter-link multiple conceptual models, languages, people and disciplines. In this paper we develop a methodology to transform EA descriptions made in plain natural language into machine readable EA models using Semantic Web technologies. We do this first by choosing an EA framework, then developing the ontology for this framework and finally showing the usage of semantic annotations in transforming HTML pages into well defined machine-readable EA content.

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Author information

Authors and Affiliations

  1. Alexandru Ioan Cuza University, B-dul Carol 1 nr.22, 700505, Iasi, Romania

    Liviu Gabriel Cretu

Authors
  1. Liviu Gabriel Cretu
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Editor information

Editors and Affiliations

  1. Poznań University of Economics, Poznań, Poland

    Witold Abramowicz

  2. Knowledge Media Institute, The Open University, Walton Hall, MK7 6AA, Milton Keynes, UK

    John Domingue

  3. Poznań University of Economics, Al. Niepodległości 10, 60-967, Poznań, Poland

    Krzysztof Węcel

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© 2012 Springer-Verlag Berlin Heidelberg

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Cretu, L.G. (2012). Ontology for Semantic Description of Enterprise Architectures. In: Abramowicz, W., Domingue, J., Węcel, K. (eds) Business Information Systems Workshops. BIS 2012. Lecture Notes in Business Information Processing, vol 127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34228-8_20

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  • DOI: https://doi.org/10.1007/978-3-642-34228-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34227-1

  • Online ISBN: 978-3-642-34228-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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