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Visual Exploration of Unstructured Regulatory Documents

Published: 07 March 2017 Publication History

Abstract

Governmental authorities publish rules and directives that govern the operations of an industry. These documents, called regulations, are meant to safeguard the interests of consumers. With increasing number, size and complexity of such documents, companies face an uphill task to comply with them. We present a cognitive system, called Cogpliance, for exploring and understanding regulatory documents with the goal of assisting compliance officers in attaining regulatory compliance. Cogpliance automatically reads natural language regulatory documents, extracts key concepts and presents an interactive information exploration user interface for answering compliance officers queries.

References

[1]
T.D. Breaux and A. I. Ant's¸n, "Mining rule semantics to understand legislative compliance", In Proc. of the ACM Workshop on Privacy in the electronic Society, 2005, 2005, pp. 51--54.
[2]
Anjani Kumar, "Regulatory compliance management in banks: Challenges and complexities", Whitepaper Infosys, 2016.

Cited By

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  • (2024)Document structure aware Relation Extraction for Semantic AutomationProceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)10.1145/3632410.3632466(232-236)Online publication date: 4-Jan-2024
  • (2023)Towards Automated Assessment of Organizational Cybersecurity Posture in CloudProceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)10.1145/3570991.3571008(167-175)Online publication date: 4-Jan-2023
  • (2021)AI-Assisted Security Controls Mapping for Clouds Built for Regulated Workloads2021 IEEE 14th International Conference on Cloud Computing (CLOUD)10.1109/CLOUD53861.2021.00027(136-146)Online publication date: Sep-2021
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Information & Contributors

Information

Published In

cover image ACM Conferences
IUI '17 Companion: Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces
March 2017
246 pages
ISBN:9781450348935
DOI:10.1145/3030024
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2017

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Author Tags

  1. SOLR
  2. SQL
  3. none
  4. user interfaces

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  • Demonstration

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IUI'17
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Acceptance Rates

IUI '17 Companion Paper Acceptance Rate 63 of 272 submissions, 23%;
Overall Acceptance Rate 746 of 2,811 submissions, 27%

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IUI '25

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Cited By

View all
  • (2024)Document structure aware Relation Extraction for Semantic AutomationProceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)10.1145/3632410.3632466(232-236)Online publication date: 4-Jan-2024
  • (2023)Towards Automated Assessment of Organizational Cybersecurity Posture in CloudProceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)10.1145/3570991.3571008(167-175)Online publication date: 4-Jan-2023
  • (2021)AI-Assisted Security Controls Mapping for Clouds Built for Regulated Workloads2021 IEEE 14th International Conference on Cloud Computing (CLOUD)10.1109/CLOUD53861.2021.00027(136-146)Online publication date: Sep-2021
  • (2017)Cognitive Compliance for Financial RegulationsIT Professional10.1109/MITP.2017.305133319:4(28-35)Online publication date: 1-Jan-2017

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