A guide to expert systems
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
Objects, components, and frameworks with UML: the catalysis approach
Objects, components, and frameworks with UML: the catalysis approach
POWER: using UML/OCL for modeling legislation - an application report
Proceedings of the 8th international conference on Artificial intelligence and law
Facilitating the Legislation Process Using a Shared Conceptual Model
IEEE Intelligent Systems
A Knowledge Based Tool to Validate and Verify an Aion Knowledge Base
EUROVAV '99 Collected papers from the 5th European Symposium on Validation and Verification of Knowledge Based Systems - Theory, Tools and Practice
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
| Hi-index | 0.00 |
Problems with legal quality will not only increase effort and costs of the law enforcement organisations, but also undermines the regulating power of the legislator. Unintended use or even abuse of the law may be the result. Governments therefore should improve their legal quality. The complexity of legislation however makes this task a hard one. The Dutch Tax and Customs Administration (DTCA in Dutch: Belastingdienst) has developed a method and supporting tools that support a systematic translation of (new) legislation into the DTCA's processes. This POWER-method and tools help to improve the quality of (new) legislation and codify the knowledge used in the translation processes in which legislation and regulations are transformed into procedures, computer programs and other designs. Thereby the time-to-market of the implementation of legislation will be reduced. In this article we explain some knowledge representation techniques that we use to improve legal quality. We will also show its application and give real-life examples of anomalies detected. In contrast to other knowledge modelling approaches the POWER-approach is focused on modelling legal sources rather than expert knowledge. Expert knowledge however is still needed to find the correct interpretations but also for efficiency reasons. Starting with representing the (legal) experts' knowledge (using scenarios) helps us to find the adequate scope (the legal sources to be analysed). Confronting the expert with differences between the model build out of the experts' knowledge and the ones we make out of the other knowledge sources (specifically the law) causes the legal experts to see things in a different light and has often led to changes in the law.