Paper Info
Title
Ontology-driven Data Acquisition: Intelligent Support to Legal ODR Systems.
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.
Year
DOI
Venue
2013
10.3233/978-1-61499-359-9-25
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
computer-assisted writing,ontology,data flow,civil liability,algorithm
Data mining,Ontology,Computer science,Data acquisition,Knowledge management,Data flow diagram,Legal liability
Conference
Volume
ISSN
Citations 
259
0922-6389
8
PageRank 
References 
Authors
0.57
2
5
Name
Order
Citations
PageRank
Gaia Arosio1111.31
Giuliana Bagnara290.93
Nicola Capuano328026.88
Elisabetta Fersini414020.70
Daniele Toti510513.86