Using ontologies for comparing and harmonizing legislation
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Legal Theory, Sources of Law and the Semantic Web
Proceedings of the 2009 conference on Legal Theory, Sources of Law and the Semantic Web
Reasoning with spatial plans on the semantic web
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Ontology RepresentationDesign Patterns and Ontologies that Make Sense
Proceedings of the 2009 conference on Ontology Representation: Design Patterns and Ontologies that Make Sense
Normative reasoning with geo information
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
An ontological representation of public services: models, technologies and use cases
Journal of Web Engineering
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The Leibniz Center for Law is involved in the project Digitale Uitwisseling Ruimtelijke Plannen [DURP (http://www.vrom.nl/durp); digital exchange of spatial plans] which develops a XML-based digital exchange format for spatial regulations. Involvement in the DURP project offers new possibilities to study a legal area that hasn't yet been studied to the extent it deserves in the field of Computer Science & Law. We studied and criticised the work of the DURP project and the Dutch Ministry of internal affairs on metadata for regulatory documents, and made an inventory of issues related to legal knowledge representation that it felt were not sufficiently covered by current initiatives in the Geographic Information Systems (GIS) field. This inventory was an input to the DURP standardisation effort. In a second phase of the project we extended the METALex XML schema (cf. Boer et al. 2002; Boer et al. 2003) for 'regular' legal sources that we developed in the past for geospatial regulatory information, in order to support exchange of spatial regulations, including the associated geospatial information in the form of maps. We developed a prototype application and demonstrated how the spatial planning information in GML can be combined with XML with only minimal changes, using the Web Ontology Language (OWL). This paper describes our experiences.