RegMiner: Taming the Complexity of Regulatory Documents for Digitalized Compliance Management
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.
Top- Winter, Karolin
- Gall, Manuel
- Rinderle-Ma, Stefanie
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 2020 |
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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