skip to main content
10.1145/2514601.2514606acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicailConference Proceedingsconference-collections
research-article

A well-founded ontological framework for modeling personal income tax

Authors Info & Claims
Published:10 June 2013Publication History

ABSTRACT

In this paper we present an ontological framework for modeling the core concepts of personal income taxes, based on the Italian law. The ontological analysis focuses on an high-level conceptualization of the main principles of tax legislation, and is largely based on contributions from legal doctrine and the most relevant Italian Constitutional Court's decisions in tax law. As such, the model may serve as a framework to be specialized by further ontological modules. In addition to the core ontological concepts of tax domain, an emphasis is given to the norms application process, which we believe helps to explain the complicated way taxes are imposed. In our approach, the final result of this process is a tax position, which accounts for the relationship between the taxpayer and the treasury with respect to a particular tribute.

References

  1. E. Allorio. Diritto processuale tributario. Milano, 1942.Google ScholarGoogle Scholar
  2. G. Barabucci, L. Cervone, M. Palmirani, S. Peroni, and F. Vitali. Multi-layer markup and ontological structures in akoma ntoso. In Casanovas et al. {5}, pages 133--149. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. A. Boer. Metalex naming conventions and the semantic web. In Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference, pages 31--36, Amsterdam, The Netherlands, The Netherlands, 2009. IOS Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. A. Boer, T. van Engers, and R. Winkels. Using ontologies for comparing and harmonizing legislation. In Proceedings of the International Conference on Artificial Intelligence and Law (ICAIL'2003), pages 60--69. ACM Press, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. P. Casanovas, U. Pagallo, G. Sartor, and G. Ajani, editors. AI Approaches to the Complexity of Legal Systems. Complex Systems, the Semantic Web, Ontologies, Argumentation, and Dialogue - International Workshops AICOL-I/IVR-XXIV Beijing, China, September 19, 2009 and AICOL-II/JURIX 2009, Rotterdam, The Netherlands, December 16, 2009 Revised Selected Papers, volume 6237 of Lecture Notes in Computer Science. Springer, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. R. Casati and A. Varzi. Parts and Places. The Structure of Spatial Representation. MIT Press, Cambridge, MA, 1999.Google ScholarGoogle Scholar
  7. F. Fichera. Le Agevolazioni Fiscali. CEDAM, Padova, Italy, 1992.Google ScholarGoogle Scholar
  8. A. D. Giannini. Il rapporto giuridico d'imposta. Milano, 1937.Google ScholarGoogle Scholar
  9. T. F. Gordon. Constructing legal arguments with rules in the legal knowledge interchange format (lkif). In P. Casanovas, G. Sartor, N. Casellas, and R. Rubino, editors, Computable Models of the Law, volume 4884 of Lecture Notes in Computer Science, pages 162--184. Springer Berlin Heidelberg, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. R. Hellawell. A computer program for legal planning and analysis taxation of stock redemptions. Columbia Law Review, 80(7):1363--1398, 1980.Google ScholarGoogle ScholarCross RefCross Ref
  11. K. Kerremans and G. Zhao. Topical ontology of vat: Ff poirot deliverable 2.3. Technical report, CVC, VUB, 2005.Google ScholarGoogle Scholar
  12. J. Kim. Events as property exemplifications. In M. Brand and D. Walton, editors, Action Theory, pages 159--177. Reidel, Dordrecht, 1976. reprinted in Casati and Varzi, 1996.Google ScholarGoogle ScholarCross RefCross Ref
  13. R. A. Kowalski. Legislation as logic programs. In G. Comyn, N. E. Fuchs, and M. Ratcliffe, editors, Proceedings of Logic Programming in Action, Second International Logic Programming Summer School, LPSS '92, volume 636 of Lecture Notes in Computer Science, pages 203--230. Springer Verlag, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. D. Liebwald. Semantic spaces and multilingualism in the law: The challenge of legal knowledge management. In P. Pompeu Casanovas, M. A. Biasiotti, E. Francesconi, and S. M. T., editors, Proceedings of the 2nd Workshop on Legal Ontologies and Artificial Intelligence Techniques, volume 321 of CEUR Workshop Proceedings, pages 131--148. CEUR-WS.org, 2007.Google ScholarGoogle Scholar
  15. C. Masolo, S. Borgo, A. Gangemi, N. Guarino, and A. Oltramari. Wonderweb deliverable d18. Technical report, CNR, 2003.Google ScholarGoogle Scholar
  16. L. T. McCarty. Reflections on taxman: an experiment in artificial intelligence and legal reasoning. Harward Law Review, 90:837--893, 1977.Google ScholarGoogle ScholarCross RefCross Ref
  17. L. T. McCarty. Intelligent legal information systems: Problems and prospects. Rutgers Computer and Technology Law Journal, 9(2):265--94, 1983.Google ScholarGoogle Scholar
  18. E. Melz and A. Valente. Modeling the tax code. In R. Meersman, Z. Tari, and A. Corsaro, editors, On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops, volume 3292 of Lecture Notes in Computer Science, pages 652--661. Springer Berlin Heidelberg, 2004.Google ScholarGoogle Scholar
  19. M. Palmirani, G. Governatori, A. Rotolo, S. Tabet, H. Boley, and A. Paschke. Legalruleml: Xml-based rules and norms. In F. Olken, M. Palmirani, and D. Sottara, editors, Rule - Based Modeling and Computing on the Semantic Web, volume 7018 of Lecture Notes in Computer Science, pages 298--312. Springer Berlin Heidelberg, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. J. Potts. Ontology in economics. In R. Poli and J. Seibt, editors, Theory and Applications of Ontology: Philosophical Perspectives, pages 277--285. Springer Netherlands, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  21. J. A. Schumpeter. The Economics and Sociology of Capitalism. Princeton University Press, 1991.Google ScholarGoogle Scholar
  22. M. J. Sergot. Representing legislation as logic programs. In J. E. Hayes, D. Michie, and J. Richards, editors, Machine intelligence 11, pages 209--260. Oxford University Press, Inc., New York, NY, USA, 1988. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. M. J. Sergot, F. Sadri, R. A. Kowalski, F. Kriwaczek, P. Hammond, and H. T. Cory. The british nationality act as a logic program. Communication of the ACM, 29(5):370--386, 1986. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. D. M. Sherman. A prolog model of the income tax act of canada. In Proceedings of the 1st international conference on Artificial intelligence and law, ICAIL '87, pages 127--136, New York, NY, USA, 1987. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. F. Tesauro. Il rimborso dell'imposta. Torino, 1975.Google ScholarGoogle Scholar
  26. F. Tesauro. Istituzioni di Diritto Tributario - Parte generale. UTET, x edition, 2009.Google ScholarGoogle Scholar
  27. G. Tesoro. Principi di diritto tributario. Bari, 1938.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    ICAIL '13: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
    June 2013
    277 pages
    ISBN:9781450320801
    DOI:10.1145/2514601
    • Conference Chair:
    • Enrico Francesconi,
    • Program Chair:
    • Bart Verheij

    Copyright © 2013 ACM

    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 10 June 2013

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article

    Acceptance Rates

    ICAIL '13 Paper Acceptance Rate17of53submissions,32%Overall Acceptance Rate69of169submissions,41%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader