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A knowledge base for automatic capitulation in expert system

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Published:24 June 2003Publication History

ABSTRACT

This article describes the development of an Expert System (ES) designed to deal with the Crimes Against the Organization of Labour, listed on the Brazilian penal code. The objective of SECTRA is to find the corresponding article for a criminal conduct and the respective penalty due. Analysing the penal domain, we observed that the juridical operators use the same type of deductive reasoning used in the technique of Expert Systems (ES), to fit the crime to the appropriate legal framework. According to [Durkin, 1994], Expert Systems (ES) are computer programs developed to model the human ability to solve problems. Their main components are the Knowledge Base (which contains the specialist knowledge) and the Inference Engine (that processes the knowledge). In the present work, the norms related to the Crimes Against the Organization of Labour are transformed into rules, forming a knowledge base.

References

  1. Durkin, J. Expert Systems: Design and Development. Pretice Hall, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Hoeschl, H. C., Bueno, T. C. D., Barcia, R. M., Bortolon, A., Mattos, E. S., Olimpo: Contextual structured search to improve the representation of UN Security Council with information extraction methods In: 8th International Conference on Artificial Intelligence and Law, 2001, St. Louis-EUA. ICAIL 2001 Proceedings. New York: ACM SIGART, 2001. p.217 - 218. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Hoeschl, H. C., Bueno, T. C. D., Bortolon, A., Mattos, E. S, Ribeiro, M. S. AlphaThemis - from Text into Knowledge. In: 1st Workshop on Automatic Deduction and Artificial Intelligence (IDEIA), in the 8th Iberoamerican Conference on Artificial Intelligence (IBERAMIA), 2002, Sevilha-Spain. Proceedings of the IDEIA, 2002. v.1. p.91 - 100.Google ScholarGoogle Scholar
  4. Mattos, E. S., "CBR-TEXT" - Model for Textual Document Treatment and Validation in the Legal Domain. Master Dissertation, PPGEP/UFSC. Florianópolis (Brazil): 2002.Google ScholarGoogle Scholar
  1. A knowledge base for automatic capitulation in expert system

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      • Published in

        cover image ACM Conferences
        ICAIL '03: Proceedings of the 9th international conference on Artificial intelligence and law
        June 2003
        304 pages
        ISBN:1581137478
        DOI:10.1145/1047788
        • Conference Chair:
        • John Zeleznikow,
        • Program Chair:
        • Giovanni Sartor

        Copyright © 2003 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 24 June 2003

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