The complexity and quantity of legislation and regulations in both governmental and business operations are increasing at an alarming rate. Knowledge modelling represents a structural pre-condition for implementing the Semantic Web concept as well as intelligent systems dealing with legal information. The need to share and improve access to government data is currently acknowledged around the globe. Fuel fraud is a prevailing crime of the black market in Poland and some other countries, e.g. UK (where it is costing UK taxpayers 350 mln up to a billion pounds a year). Recently there has been a growing interest in the development of intelligent systems to support evidential legal and forensic reasoning. This paper presents an ontology based model developed with regard to the transposition of the EU Directive on Services 2006/123/EC in Austria.

Diagrammatic models of argument are a growing area of research in AI and Law. At the Leibniz Center for Law, we have developed an editor for legislative drafters with which they can create laws in CEN/MetaLex XML format: MetaVex. This paper explores a novel approach to study legal interactions by means of agent-based simulation. In recent years, there has been a growing interest in improving the accessibility of legislation. There are many national and international XML standards for modelling and representing legal resources, and when it comes to modelling norms by way of rules, we also find a worldwide array of standards (such as RIF, SBVR, RuleML). Managing the information represented in large collections of documents is a big problem for public administrations: the size of documental archives grows continuously while peculiarities of the legal domain imposes searches which may span across decades and a plethora of information sources.

The Japanese Presupposed Ultimate Fact Theory (called “Yoken-jijitsu-ron” in Japanese), which we will call the JUF theory in this paper, has been mainly developed by judges in the Japanese Legal Training Institute in order to handle the uncertainty that sometimes occur in the court because of a lack of enough evidence. This paper describes a system for generating artificial law cases for students to solve autonomously in an E-Learning setting. More and more people on the working floor are expected to have knowledge of the sources of law that are applicable to their field.

(from Jurix 2009 proceedings)

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