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
Arosio, G., Bagnara, G., Capuano, N., Fersini, E., Toti, D. (2013). Ontology-driven data acquisition: intelligent support to legal ODR systems. In K.D. Ashley (a cura di), Frontiers in Artificial Intelligence, Volume: Legal Knowledge and Information Systems (pp. 25-28). I O S Press [10.3233/978-1-61499-359-9-25].
Ontology-driven data acquisition: intelligent support to legal ODR systems
BAGNARA, GIULIANASecondo
;FERSINI, ELISABETTAPenultimo
;
2013
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
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