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Goal-Oriented Regulatory Intelligence: How Can Watson Analytics Help?

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Conceptual Modeling (ER 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10650))

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Abstract

Regulations are introduced by governments to ensure the well-being, safety, and other societal needs of citizens and enterprises. Governments also create programs aiming to improve awareness about and compliance with regulations. Goal models have been used in the past to conceptualize regulations and to measure compliance assessments. However, regulators often have difficulties assessing the performance of their regulations and programs. In this paper, we model both regulations and regulatory programs with the Goal-oriented Requirement Language. Using the same conceptualization framework enables asking questions about performance and about the evidence-based impact of programs on regulations. We also investigate how Watson Analytics, a cloud-based data exploration service from IBM, can be used pragmatically to explore and visualize goal satisfaction data to understand compliance issues and program effectiveness. A simplified example inspired from a Canadian mining regulation is used to illustrate the many opportunities of Watson Analytics in that context, and some of its current limitations.

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Acknowledgements

This work was supported financially by the National Science and Engineering Research Council of Canada (NSERC) Discovery program. We are much thankful to Colette Lacroix and IBM Canada for access to Watson Analytics. We also thank Prof. Greg Richards, Dr. Randy Giffen, and Nick Cartwright for useful discussions, as well as the reviewers for their insightful suggestions.

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Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

    Okhaide Akhigbe, Susie Heap, Sakib Islam, Daniel Amyot & John Mylopoulos

Authors
  1. Okhaide Akhigbe
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  2. Susie Heap
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  3. Sakib Islam
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  4. Daniel Amyot
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  5. John Mylopoulos
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Corresponding author

Correspondence to Okhaide Akhigbe .

Editor information

Editors and Affiliations

  1. University of Klagenfurt, Klagenfurt, Austria

    Heinrich C. Mayr

  2. Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

    Giancarlo Guizzardi

  3. Victoria University of Wellington, Wellington, New Zealand

    Hui Ma

  4. Valencia University of Technology, Valencia, Spain

    Oscar Pastor

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Akhigbe, O., Heap, S., Islam, S., Amyot, D., Mylopoulos, J. (2017). Goal-Oriented Regulatory Intelligence: How Can Watson Analytics Help?. In: Mayr, H., Guizzardi, G., Ma, H., Pastor, O. (eds) Conceptual Modeling. ER 2017. Lecture Notes in Computer Science(), vol 10650. Springer, Cham. https://doi.org/10.1007/978-3-319-69904-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-69904-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69903-5

  • Online ISBN: 978-3-319-69904-2

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