Object-oriented systems analysis: a model-driven approach
Object-oriented systems analysis: a model-driven approach
The Unified Modeling Language reference manual
The Unified Modeling Language reference manual
Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
NIAM Information Analysis Method: Theory and Practice
NIAM Information Analysis Method: Theory and Practice
Conceptual Queries Using ConQuer-II
ER '97 Proceedings of the 16th International Conference on Conceptual Modeling
The Object Constraint Language: Getting Your Models Ready for MDA
The Object Constraint Language: Getting Your Models Ready for MDA
Information analysis in UML and ORM: a comparison
Advanced topics in database research vol. 1
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The pragmatic value of any information system, whether agent-oriented or not, depends critically on its fidelity in modelling the relevant aspects of the underlying business domain. Fact-oriented approaches to information modelling facilitate high fidelity models by lifting the specification of business facts and rules to a truly conceptual level where they can be easily validated with non-technical domain experts. Incorporating aspects of fact-orientation into agent-oriented approaches may well offer similar benefits. This paper reviews the principal concepts behind fact-orientation, and then discusses some lessons learned from early attempts to combine fact-orientation with two agent-oriented approaches.