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ON-LINE: An Architecture for Modelling Legal Information
- In International Conference on Artificial Intelligence and Law (ICAIL-1995
, 1995
"... This paper describes ON-LINE (ONtology-based Legal INformation Environment), an architecture for a legal workbench which combines two major functions: legal information serving and legal analysis. Some of the main features of ON-LINE are: the integrated storage and representation of legal text and k ..."
Abstract
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Cited by 9 (3 self)
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This paper describes ON-LINE (ONtology-based Legal INformation Environment), an architecture for a legal workbench which combines two major functions: legal information serving and legal analysis. Some of the main features of ON-LINE are: the integrated storage and representation of legal text and knowledge by using interconnected knowledge and text repositories; a representation of legal knowledge based on a functional ontology of law; the emphasis on legal modelling as a central task in legal practice. ON-LINE comprises three main modules. The Legal Information Server is able to retrieve legal information based on either textual or conceptual search. The Legal Information Modelling Toolkit is a collection of integrated tools to transform legal text into legal knowledge. The Legal Analysis Environment contains reasoning tools to perform two of the central legal tasks: assessment and planning. The architecture is intended to be a basis for experimentation, and it is therefore highly ex...
Using Design Languages for Conceptual Modelling: The UML Case
, 2003
"... We accept this thesis as conforming ..."
Enforcing Ontological Rules in UML-Based Conceptual Modeling: Principles and Implementation
"... Abstract. UML is used for at least two purposes: OO software design, and conceptual modeling. However, UML's origins in software engineering may limit its appropriateness for conceptual modeling. Evermann and Wand [5,6,7] have developed a set of formal ontological rules that constrain the constructi ..."
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Abstract. UML is used for at least two purposes: OO software design, and conceptual modeling. However, UML's origins in software engineering may limit its appropriateness for conceptual modeling. Evermann and Wand [5,6,7] have developed a set of formal ontological rules that constrain the construction of UML diagrams to reflect underlying ontological assumptions about the real world. This paper examines issues in implementing that functionality in a UML CASE tool. The main contribution of our research is to distinguish four categories of rules for implementation purposes, reflecting the relative importance of different rules and the degree of flexibility available in enforcing them. We further propose four implementation strategies that correspond to these rule categories, and identify some rules that cannot be implemented without changing the UML specification. We have implemented the rules in an open-source UML CASE tool, providing a proof-of-concept demonstration of the feasibility and usefulness of the approach. 1
