Skip to main content

Towards an Executable Methodology for the Formalization of Legal Texts

  • Conference paper
  • First Online:
Logic and Argumentation (CLAR 2020)

Abstract

A methodology for the formalization of legal texts is presented. This methodology is based on features of the NAI Suite, a recently developed formalization environment for legal texts. The ability of the tool to execute queries is used in order to drive a correct formalization until all queries are validated. The approach is studied on a fragment of the Smoking Prohibition (Children in Motor Vehicles) (Scotland) Act 2016 of the Scottish Parliament.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    See http://oracle.com/technetwork/apps-tech/policy-automation for further information.

  2. 2.

    See https://github.com/normativeai.

  3. 3.

    https://www.agilealliance.org/glossary/bdd/.

  4. 4.

    The description is based on the definition in http://behaviour-driven.org/.

  5. 5.

    https://www.legislation.gov.uk/asp/2016/3/contents.

  6. 6.

    Please visit https://nai.uni.lu and log in with the credentials: smoking@nai.lu / nai.

  7. 7.

    https://github.com/normativeai/frontend/issues.

References

  1. Bartolini, C., Lenzini, G., Santos, C.: An interdisciplinary methodology to validate formal representations of legal text applied to the GDPR. In: JURISIN (2018)

    Google Scholar 

  2. Blanchette, J.C., Nipkow, T.: Nitpick: a counterexample generator for higher-order logic based on a relational model finder. In: Kaufmann, M., Paulson, L.C. (eds.) ITP 2010. LNCS, vol. 6172, pp. 131–146. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-14052-5_11

    Chapter  Google Scholar 

  3. Boella, G., Di Caro, L., Humphreys, L., Robaldo, L., Rossi, P., van der Torre, L.: Eunomos, a legal document and knowledge management system for the web to provide relevant, reliable and up-to-date information on the law. Artif. Intell. Law 24(3), 245–283 (2016). https://doi.org/10.1007/s10506-016-9184-3

    Article  Google Scholar 

  4. Bouton, T., de Oliveira, D.C.B., Déharbe, D., Fontaine, P.: veriT: an open, trustable and efficient SMT-solver. In: Schmidt, R.A. (ed.) CADE 2009. LNCS (LNAI), vol. 5663, pp. 151–156. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02959-2_12

    Chapter  Google Scholar 

  5. Governatori, G., Shek, S.: Regorous: a business process compliance checker. In: Proceedings of the 14th International Conference on Artificial Intelligence and Law, pp. 245–246. ACM (2013)

    Google Scholar 

  6. Kifer, M.: Nonmonotonic reasoning in FLORA-2. In: Baral, C., Greco, G., Leone, N., Terracina, G. (eds.) LPNMR 2005. LNCS (LNAI), vol. 3662, pp. 1–12. Springer, Heidelberg (2005). https://doi.org/10.1007/11546207_1

    Chapter  MATH  Google Scholar 

  7. Libal, T., Pascucci, M.: Automated reasoning in normative detachment structures with ideal conditions. In: Proceedings of ICAIL, pp. 63–72 (2019). https://doi.org/10.1145/3322640.3326707

  8. Libal, T., Steen, A.: NAI: the normative reasoner. In: Proceedings of ICAIL, pp. 262–263. ACM (2019)

    Google Scholar 

  9. Mockus, M., Palmirani, M.: Legal ontology for open government data mashups. In: 2017 Conference for E-Democracy and Open Government (CeDEM), pp. 113–124. IEEE (2017)

    Google Scholar 

  10. Otten, J.: Implementing connection calculi for first-order modal logics. In: IWIL@ LPAR, pp. 18–32 (2012)

    Google Scholar 

  11. Otten, J.: MleanCoP: a connection prover for first-order modal logic. In: 7th International Joint Conference, IJCAR, pp. 269–276 (2014). https://doi.org/10.1007/978-3-319-08587-6_20

  12. Park, S., Maurer, F.: A literature review on story test driven development. In: Sillitti, A., Martin, A., Wang, X., Whitworth, E. (eds.) XP 2010. LNBIP, vol. 48, pp. 208–213. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13054-0_20

    Chapter  Google Scholar 

  13. Peroni, S.: A simplified agile methodology for ontology development. In: Dragoni, M., Poveda-Villalón, M., Jimenez-Ruiz, E. (eds.) OWLED/ORE 2016. LNCS, vol. 10161, pp. 55–69. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-54627-8_5

    Chapter  Google Scholar 

  14. Robaldo, L., Bartolini, C., Palmirani, M., Rossi, A., Martoni, M., Lenzini, G.: Formalizing GDPR provisions in reified I/O logic: the DAPRECO knowledge base. J. Logic Lang. Inf., 1–49 (2019). https://doi.org/10.1007/s10849-019-09309-z

  15. Suda, M., Weidenbach, C.: A PLTL-prover based on labelled superposition with partial model guidance. In: Gramlich, B., Miller, D., Sattler, U. (eds.) IJCAR 2012. LNCS (LNAI), vol. 7364, pp. 537–543. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31365-3_42

    Chapter  Google Scholar 

  16. Wyner, A.Z., Gough, F., Lévy, F., Lynch, M., Nazarenko, A.: On annotation of the textual contents of Scottish legal instruments. In: JURIX, pp. 101–106 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tomer Libal .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Libal, T., Steen, A. (2020). Towards an Executable Methodology for the Formalization of Legal Texts. In: Dastani, M., Dong, H., van der Torre, L. (eds) Logic and Argumentation. CLAR 2020. Lecture Notes in Computer Science(), vol 12061. Springer, Cham. https://doi.org/10.1007/978-3-030-44638-3_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-44638-3_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44637-6

  • Online ISBN: 978-3-030-44638-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics