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Semi-automatic Methodology for Compliance Checking on Business Processes

  • Conference paper
Electronic Government and the Information Systems Perspective (EGOVIS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9265))

Abstract

The paper aims to provide a semi-automatic methodology, which can be used to validate and improve business processes. The main goal is the process ontology matching, based on ontologies derived from business process models and regulations, rules and policies. The paper introduces a method using ontology building and matching for compliance checking on business processes partway automatically. The objective of this approach is to transform the business process into process ontology and to build reference process ontology from unstructured documents in order to apply ontology matching procedure to restructure, validate and improve the business process. Processes in public administration are also complex and changing fast according to the changes in regulatory environment. In the case study, we illustrate the methodology related to the process of “Assessment of the KICs past performance”, to improve the process at the European Institute of Innovation and Technology (EIT).

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Author information

Authors and Affiliations

  1. Department of Information Systems, Corvinus University of Budapest, Fővám Tér 13-15, Budapest, 1093, Hungary

    Katalin Ternai

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  1. Katalin Ternai
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Correspondence to Katalin Ternai .

Editor information

Editors and Affiliations

  1. Corvinus University of Budapest, Budapest, Hungary

    Andrea Kő

  2. Institute of Legal Information Theory and Techniques, Florence, Italy

    Enrico Francesconi

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Ternai, K. (2015). Semi-automatic Methodology for Compliance Checking on Business Processes. In: Kő, A., Francesconi, E. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2015. Lecture Notes in Computer Science, vol 9265. Springer, Cham. https://doi.org/10.1007/978-3-319-22389-6_18

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  • DOI: https://doi.org/10.1007/978-3-319-22389-6_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22388-9

  • Online ISBN: 978-3-319-22389-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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