A language for legal Discourse I. basic features
ICAIL '89 Proceedings of the 2nd international conference on Artificial intelligence and law
Discrete mathematics for computing
Discrete mathematics for computing
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
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
An event-condition-action language for XML
Proceedings of the 11th international conference on World Wide Web
Some ideas and examples to evaluate ontologies
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
A Semantic Web Primer
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
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Rules of Origin (ROO), globally applied to determine the eligibility for trade preferences, are a vital instrument in international trade, since they defines the country of origin of products. Whereas the technical nature of the ROO criteria is complex and voluminous, common ROO knowledge representation is a vital key in promoting interoperability and effective e-government services. This paper aims to lay down a ROO knowledge representation model using the composite act frame technique extended from the frame-based ontology of law. To prove the generic and extensibility aspects of the model, we conducted an assessment test with different criteria for the ROO. The implementation of the ROO knowledge representations to support Web-based e-government services is accomplished ''Rules of Origin VERification Systems'', known more simply as ''ROVERs''.