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RTS - an integrated analytic solution for managing regulation changes and their impact on business compliance

Published: 14 May 2013 Publication History

Abstract

Governance, Risk Management and Compliance are key success factors for corporations. Every company worldwide must ensure a proper compliance level with current and future laws and regulations, but managing the dynamic nature of the regulatory environment is a challenge, for both small and medium business as well as large corporations. Specifically the challenge is knowing and interpreting which regulations impact a particular business. Governments and standard bodies keep producing new, revised legislation, and businesses today rely on employees and consultants for tracking and understanding impact on their operations.
This paper introduces a novel prototype solution that addresses these concerns through the use of advanced text analytics. In particular the system is able to discover sources of regulatory content on the world wide web, track the changes to these regulations, extract metadata and semantic information and use these to provide a semantically guided comparison of regulation versions. Moreover, by leveraging the IBM DeepQA architecture, the solution is able to cross reference business objectives with the regulatory database and provide insights about the impact of new and revised laws on a company's business.

References

[1]
Z. W. Abrams, J. A. Adams, L. R. Ferritti, JR., P. L. Imandi, A. R. Jones, K. S. Lyjak, S. L. Ng, and F. D. White. System and method for management of material content. Patent Application, 12 2012. US 2012/0323806 A1.
[2]
Apache Fundation. OpenNLP. http://opennlp.apache.org/,.
[3]
Apache Fundation. TiKA. http://tika.apache.org/,.
[4]
D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. J. Mach. Learn. Res., 3:993--1022, Mar. 2003. ISSN 1532-4435. URL http://dl.acm.org/citation.cfm?id=944919.944937.
[5]
K. R. Bouzidi, B. Fies, C. Faron-Zucker, A. Zarli, and N. L. Thanh. Semantic web approach to ease regulation compliance checking in construction industry. Future Internet, 4(3):830--851, 2012. ISSN 1999-5903. URL http://www.mdpi.com/1999-5903/4/3/830.
[6]
E. Brill. Some advances in transformation-based part of speech tagging. In Proceedings of the twelfth national conference on Artificial intelligence (vol. 1), AAAI '94, pages 722--727, Menlo Park, CA, USA, 1994. American Association for Artificial Intelligence. ISBN 0-262-61102-3. URL http://dl.acm.org/citation.cfm?id=199288.199378.
[7]
D. A. Ferrucci. Introduction to "this is watson". IBM Journal of Research and Development, 56(3):1, 2012.
[8]
H. Guo, H. Zhu, Z. Guo, X. Zhang, and Z. Su. Product feature categorization with multilevel latent semantic association. In Proceedings of the 18th ACM conference on Information and knowledge management, CIKM '09, pages 1087--1096, New York, NY, USA, 2009. ACM. ISBN 978-1-60558-512-3. URL http://doi.acm.org/10.1145/1645953.1646091.
[9]
T. Hofmann. Probabilistic latent semantic indexing. In Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '99, pages 50--57, New York, NY, USA, 1999. ACM. ISBN 1-58113-096-1. URL http://doi.acm.org/10.1145/312624.312649.
[10]
N. Kiyavitskaya, N. Zeni, T. D. Breaux, A. I. Antón, J. R. Cordy, L. Mich, and J. Mylopoulos. Automating the extraction of rights and obligations for regulatory compliance. In Proceedings of the 27th International Conference on Conceptual Modeling, ER '08, pages 154--168, Berlin, Heidelberg, 2008. Springer-Verlag. ISBN 978-3-540-87876-6.
[11]
G. T. Lau, S. Kerrigan, E. Engineering, G. Wiederhold, E. Engineering, and K. H. Law. An e-government information architecture for regulation analysis and compliance assistance. In ICEC'04: Sixth International Conference on Electronic Commerce, pages 461--470, 2004.
[12]
S. Liu, M. X. Zhou, S. Pan, W. Qian, W. Cai, and X. Lian. Interactive, topic-based visual text summarization and analysis. In Proceedings of the 18th ACM conference on Information and knowledge management, CIKM '09, pages 543--552, New York, NY, USA, 2009. ACM. ISBN 978-1-60558-512-3. URL http://doi.acm.org/10.1145/1645953.1646023.
[13]
E. W. Myers. An o(nd) difference algorithm and its variations. Algorithmica, 1:251--266, 1986.
[14]
Nuance. OmnuiPage. http://www.nuance.com/omnipage/.
[15]
K. Spärck Jones. A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation, 1972. URL http://www.soi.city.ac.uk/ser/idf.html.
[16]
U.S. Sentencing Commission. 2009 Federal Sentencing Guidelines Manual. http://www.ussc.gov/2009guid/tabcon09.htm, 2009.
[17]
U.S. Sentencing Commission. Understanding Compliance Risk in Emerging Markets. http://www.exbd.com/, 2011.

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  • (2017)Estimating Legal Document Structure by Considering Style Information and Table of ContentsNew Frontiers in Artificial Intelligence10.1007/978-3-319-61572-1_18(270-283)Online publication date: 8-Jul-2017

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      cover image ACM Conferences
      CF '13: Proceedings of the ACM International Conference on Computing Frontiers
      May 2013
      302 pages
      ISBN:9781450320535
      DOI:10.1145/2482767
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      Published: 14 May 2013

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      Author Tags

      1. document processing
      2. question answering
      3. semantic
      4. text analytics

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      May 14 - 16, 2013
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      • (2017)Estimating Legal Document Structure by Considering Style Information and Table of ContentsNew Frontiers in Artificial Intelligence10.1007/978-3-319-61572-1_18(270-283)Online publication date: 8-Jul-2017

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