Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
A language for legal Discourse I. basic features
ICAIL '89 Proceedings of the 2nd international conference on Artificial intelligence and law
Separating world and regulation knowledge: where is the logic
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Defeasible deontic reasoning and its applications to normative systems
Decision Support Systems
Conditional deontic logic augmented with defeasible reasoning
Data & Knowledge Engineering
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Legal modeling and automated reasoning with ON—LINE
International Journal of Human-Computer Studies - Model—based legal knowledge engineering
A principled approach to developing legal knowledge systems
International Journal of Human-Computer Studies - Model—based legal knowledge engineering
Frame-Based Conceptual Models of Statute Law
Frame-Based Conceptual Models of Statute Law
Fundamental Structures of Computer Science
Fundamental Structures of Computer Science
Modelling and Simulating Human Behaviours with Conceptual Graphs
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Knowledge Representation and Reasonings Based on Graph Homomorphism
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Conceptual Graph Interchange Format for Mining Financial Statements
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Engineering Applications of Artificial Intelligence
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The main contribution of this paper is to lay down a conceptual framework for document semantics modeling. This framework provides a generic graphical knowledge representation model based on Sowa's conceptual structures. Modeling primitives are introduced to represent factual and ontological knowledge that can be expressed in electronic documents. Binding features are proposed so as to keep knowledge representation and knowledge formulation linked together.This framework may be applied to various domains and may accept, for this purpose, many different ontological extensions. Thus an extension is provided so as to properly handle the particular kind of knowledge encountered in the legal domain.