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East European Conference on Advances in Databases and Information Systems

ADBIS 2012: Advances in Databases and Information Systems pp 111–124Cite as

KALCAS: A FrameworK for Semi-automatic ALignment of Data and Business ProCesses ArchitectureS

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7503))

Abstract

The alignment of Business Processes and Information Technologies (IT) is among the top concerns of IT management surveys, because it has a direct impact on the organization’s agility and flexibility to change in response to business needs. Previous works have proposed frameworks and methodologies for alignment management; however, they suppose manual tasks such as applying surveys or comparing artifacts. Enterprise Architecture (EA) is a valuable instrument to assess and achieve such alignment. In that direction, we introduce KALCAS, a framework to support the alignment of Business Architecture (BA) and Information Architecture (IA) via the comparison of their constituent components applying ontology matching techniques. Our key objectives are: i) To support the process of evaluating alignment BA-IA, and ii) To detect potential alignments and misalignments between BA and IA. We validate this approach through the evaluation of misalignment heuristics in the Colombian Institute for the Evaluation of Education.

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Author information

Authors and Affiliations

  1. Department of Systems and Computing Engineering, University of Los Andes, Bogotá, Colombia

    Camilo Castellanos & Dario Correal

Authors
  1. Camilo Castellanos
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  2. Dario Correal
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Editor information

Editors and Affiliations

  1. Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60-965, Poznań, Poland

    Tadeusz Morzy

  2. Department of Computer Science, AG DBIS, University of Kaiserslautern, Germany, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Theo Härder

  3. Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965, Poznan, Poland

    Robert Wrembel

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© 2012 Springer-Verlag Berlin Heidelberg

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Castellanos, C., Correal, D. (2012). KALCAS: A FrameworK for Semi-automatic ALignment of Data and Business ProCesses ArchitectureS. In: Morzy, T., Härder, T., Wrembel, R. (eds) Advances in Databases and Information Systems. ADBIS 2012. Lecture Notes in Computer Science, vol 7503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33074-2_9

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  • DOI: https://doi.org/10.1007/978-3-642-33074-2_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33073-5

  • Online ISBN: 978-3-642-33074-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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