Ontology-driven data acquisition: Intelligent support to legal ODR systems

Daniele Toti, G. Arosio, G. Bagnara, N. Capuano, E. Fersini

Risultato della ricerca: Contributo in libroContributo a convegno

11 Citazioni (Scopus)

Abstract

We describe a system for computer-assisted writing of legal documents via a question-based mechanism. This system relies upon an underlying ontological structure meant to represent the data flow from the user's input, and a corresponding resolution algorithm, implemented within a local engine based on a Last-State Next-State model, for navigating the structure and providing the user with meaningful domain-specific support and insight. This system has been successfully applied to the scenario of civil liability for motor vehicles and is part of a larger framework for self-litigation and legal support. © 2013 The authors and IOS Press.
Lingua originaleEnglish
Titolo della pubblicazione ospiteFrontiers in Artificial Intelligence and Applications
Pagine25-28
Numero di pagine4
Volume259
DOI
Stato di pubblicazionePubblicato - 2013
EventoThe 26th International Conference on Legal Knowledge and Information Systems (JURIX 2013) - Bologna, Italy
Durata: 11 dic 201313 dic 2013

Convegno

ConvegnoThe 26th International Conference on Legal Knowledge and Information Systems (JURIX 2013)
CittàBologna, Italy
Periodo11/12/1313/12/13

Keywords

  • Algorithm
  • Civil liability
  • Computer-assisted writing
  • Data flow
  • Ontology

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