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An Approach to the Semantization of ERP Systems

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Book cover Business Information Systems (BIS 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 87))

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Abstract

The paper promotes a methodology and application model for extending traditional, data-centric Enterprise Resource Planning Systems with semantics-oriented data models, in order to enrich interaction and reporting capabilities. The proposal includes a method of automating data semantization using a mix of semantic modeling and formal concept analysis, and an extended ERP architecture which integrates legacy systems in a Semantic Web wrapper system, providing new dimensions to traditional interaction and reports in a business environment, with specific examples regarding human resources management.

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Author information

Authors and Affiliations

  1. Faculty of Economic Sciences and Business Administration, Business Information Systems Dpt., Babes Bolyai University, str. Teodor Mihali 58-60, 400591, Cluj Napoca, Romania

    Robert Andrei Buchmann

  2. Faculty of Political, Administrative and Communication Sciences, Journalism Dpt., Babes Bolyai University, str. G-ral Traian Moşoiu 71, 400132, Cluj Napoca, Romania

    Radu Meza

  3. Faculty of Economic Sciences and Business Administration, Gazepower Project., Babes Bolyai University, str. Teodor Mihali 58-60, 400591, Cluj Napoca, Romania

    Delia Pulcher

Authors
  1. Robert Andrei Buchmann
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  2. Radu Meza
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  3. Delia Pulcher
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Editor information

Editors and Affiliations

  1. Department of Information Systems, Poznań University of Economics, Al. Niepodległości 10, 61-875, Poznań, Poland

    Witold Abramowicz

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© 2011 Springer-Verlag Berlin Heidelberg

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Buchmann, R.A., Meza, R., Pulcher, D. (2011). An Approach to the Semantization of ERP Systems. In: Abramowicz, W. (eds) Business Information Systems. BIS 2011. Lecture Notes in Business Information Processing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21863-7_19

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  • DOI: https://doi.org/10.1007/978-3-642-21863-7_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21829-3

  • Online ISBN: 978-3-642-21863-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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