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.
Arosio, G., Bagnara, G., Capuano, N., Fersini, E., Toti, D., Ontology-driven data acquisition: Intelligent support to legal ODR systems, Paper, in Frontiers in Artificial Intelligence and Applications, (Bologna, Italy, 11-13 December 2013), IOS PRESS, NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS 2013:259 25-28. 10.3233/978-1-61499-359-9-25 [http://hdl.handle.net/10807/163939]
Ontology-driven data acquisition: Intelligent support to legal ODR systems
Toti, Daniele
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. © 2013 The authors and IOS Press.
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