RegMiner: Taming the Complexity of Regulatory Documents for Digitalized Compliance Management

RegMiner: Taming the Complexity of Regulatory Documents for Digitalized Compliance Management

Abstract

Business process compliance has become a crucial aspect for companies due to severe fines that can be imposed if constraints and rules emerging from regulatory documents are violated. Regulatory documents are often written in natural language and analyzing them is mainly done manually since only limited tool support is available. Therefore, we present RegMiner, a web service for discovering and visualizing constraints from regulatory documents. By employing NLP and data mining techniques, compliance constraints can be automatically extracted, grouped, and visualized leading to a separation of relevant and non-relevant document parts and insights into, e.g., duties of stakeholders. A case study based on a current document from the European parliament regarding the financial domain demonstrates RegMiner's maturity.

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Authors
  • Winter, Karolin
  • Gall, Manuel
  • Rinderle-Ma, Stefanie
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
Int'l Conference on Business Process Management
Divisions
Workflow Systems and Technology
Event Location
Barcelona, Spain
Event Type
Other
Event Dates
10-15 September 2017
Series Name
BPM-D 2020 Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track 2020
ISSN/ISBN
CEUR Vol-2673
Page Range
pp. 112-116
Date
September 2020
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