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Authors: Avi Wasser 1 and Maya Lincoln 2

Affiliations: 1 University of Haifa, Israel ; 2 ProcessGene Ltd, Israel

Keyword(s): Risk Management, Risk Design, Business Process Repositories, Business Process Management, Natural Language Processing (NLP), ProcessGene.

Abstract: In recent years, researchers have become increasingly interested in developing methods and tools for automating the design of governance, risk and compliance (GRC) models. This work suggests a method for machine-assisted identification and design of new risks, based on business logic that is extracted from real-life process repositories using a linguistic analysis of the operational similarity between process conducts. The suggested method can assist process analysts, audit executives and risk managers in identifying new organizational risks while making use of knowledge that is encoded in existing process repositories. The suggested framework was tested on the ProcessGene process repository, showing our approach to be effective in enabling the identification and design of new risks within real-life business process models.

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Paper citation in several formats:
Wasser, A. and Lincoln, M. (2016). Natural Language Processing for Risk Identification in Business Process Repositories. In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-187-8; ISSN 2184-4992, SciTePress, pages 608-613. DOI: 10.5220/0005841006080613

@conference{iceis16,
author={Avi Wasser. and Maya Lincoln.},
title={Natural Language Processing for Risk Identification in Business Process Repositories},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2016},
pages={608-613},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005841006080613},
isbn={978-989-758-187-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Natural Language Processing for Risk Identification in Business Process Repositories
SN - 978-989-758-187-8
IS - 2184-4992
AU - Wasser, A.
AU - Lincoln, M.
PY - 2016
SP - 608
EP - 613
DO - 10.5220/0005841006080613
PB - SciTePress

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