Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
The British Nationality Act as a logic program
Communications of the ACM
An artificial intelligence approach to legal reasoning
An artificial intelligence approach to legal reasoning
A case-based system for trade secrets law
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
Bureaucracies as deontic systems
ACM Transactions on Information Systems (TOIS)
Expert systems in law
A knowledge representation and inference system
New Generation Computing
Deep models, normative reasoning and legal expert systems
ICAIL '89 Proceedings of the 2nd international conference on Artificial intelligence and law
Expert systems in case-based law: the Hearsay Rule advisor
ICAIL '89 Proceedings of the 2nd international conference on Artificial intelligence and law
A document engineering environment for clinical guidelines
Proceedings of the 2007 ACM symposium on Document engineering
Integrating Document-Based and Knowledge-Based Models for Clinical Guidelines Analysis
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Visualizing the Importance of Medical Recommendations with Conversational Agents
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Automating the Extraction of Rights and Obligations for Regulatory Compliance
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Proceedings of the 9th ACM symposium on Document engineering
Selecting target word using contexonym comparison method
Proceedings of the 2007 conference on Human interface: Part I
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There is a growing interest for the application of artificial intelligence in law. Research activities have investigated different areas : formulating legislation with the aid of logical models, legal reasoning, case-based reasoning, developing expert systems applied to the juridical or administrative domains. In project A.C.A.T. (Acquisition des connaissances et analyse de textes), we explore the possibility of creating knowledge bases by exploiting information contained in texts which are used in organizations. Our research focuses on a particular category of prescriptive texts : regulations from the Government of Québec.In order to verify these hypothesis we are developing a knowledge-acquisition system which will enable human specialists to transform a prescriptive text into the form of a knowledge base which can be exploited by an inference engine.We introduce a model which enables us to identify three layers in prescriptive texts : the macrostructure, the microstructure and the dominial component. We describe the general architecture of the knowledge acquisition system which enables us to create “deontic” knowledge bases. We present the main knowledge structures used by the knowledge acquisition sub-system : the text grammars of macrostructure and microstructure.