Detecting change in legal concepts
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
ON-LINE: an architecture for modelling legal information
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Generating exception structures for legal information serving
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
MILE Assessment: Turning Legal Information into Legal Advice
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
A Conjunctive Query Language for Description Logic Aboxes
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Mixing Legal and Non-legal Norms
Proceedings of the 2005 conference on Legal Knowledge and Information Systems: JURIX 2005: The Eighteenth Annual Conference
Use and reuse of legal ontologies in knowledge engineering and information management
Law and the Semantic Web
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In the E-POWER project relevant tax legislation and business processes are modelled in UML to improve the speed and efficiency with which the Dutch Tax and Customs Administration can implement decision support systems for internal use and for its clients. These conceptual models have also proven their usefulness for efficient and effective analysis of draft legislation.We are currently researching whether conceptual modeling can also be used to compare 'similar' legislation from different jurisdictions. Better insight in the process of modeling and comparing legislation from different legislators is expected to improve the capacity of the Dutch Tax and Customs Administration to react to future consequences of increased movement of people, products, and money between EU member states and increased harmonization between tax authorities in Europe. In addition, the discovery of the requirements of comparing models is also expected to result in a more principled, more robust, and language-independent methodology for modeling legislation. This paper discusses known problems and requirements of comparing legislation, and the expected results of comparing models of legislation.