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Visual Exploration of Unstructured Regulatory Documents

Authors:

Srikanth TamilselvamAuthors Info & Claims

IUI '17 Companion: Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces

Pages 129 - 132

https://doi.org/10.1145/3030024.3038261

Published: 07 March 2017 Publication History

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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.

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[2]

Anjani Kumar, "Regulatory compliance management in banks: Challenges and complexities", Whitepaper Infosys, 2016.

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Cited By

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Kumar AShalghar AChauhan HGanesan BChaudhuri RKannan A(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
https://dl.acm.org/doi/10.1145/3632410.3632466
Bar-Haim REden LKantor YAgarwal VDevereux MGupta NKumar AOrbach MZan M(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
https://dl.acm.org/doi/10.1145/3570991.3571008
Agarwal VBar-Haim REden LGupta NKantor YKumar A(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
https://doi.org/10.1109/CLOUD53861.2021.00027
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Index Terms

Visual Exploration of Unstructured Regulatory Documents
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Natural language interfaces
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design

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Information & Contributors

Information

Published In

IUI '17 Companion: Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces

March 2017

246 pages

ISBN:9781450348935

DOI:10.1145/3030024

General Chairs:
George A. Papadopoulos
The University of Cyprus, Cyprus
,
Tsvi Kuflik
The University of Haifa, Israel
,
Program Chairs:
Fang Chen
Data61, CSIRO Australia
,
Carlos Duarte
The University of Lisbon, Portugal
,
Wai-Tat Fu
The University of Illinois at Urbana-Champaign, USA

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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IUI'17

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IUI'17: 22nd International Conference on Intelligent User Interfaces

March 13 - 16, 2017

Limassol, Cyprus

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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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30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

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Cited By

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Kumar AShalghar AChauhan HGanesan BChaudhuri RKannan A(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
https://dl.acm.org/doi/10.1145/3632410.3632466
Bar-Haim REden LKantor YAgarwal VDevereux MGupta NKumar AOrbach MZan M(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
https://dl.acm.org/doi/10.1145/3570991.3571008
Agarwal VBar-Haim REden LGupta NKantor YKumar A(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
https://doi.org/10.1109/CLOUD53861.2021.00027
Agarwal AGanesan BGupta AJain NKaranam HKumar AMadaan NMunigala VTamilselvam S(2017)Cognitive Compliance for Financial RegulationsIT Professional10.1109/MITP.2017.305133319:4(28-35)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1109/MITP.2017.3051333

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Enabling Structured Queries over Unstructured Documents

A relational model for unstructured documents

DOCUMENTS: an interactive online solution to four documentation problems