A method for the development of legal knowledge systems
Proceedings of the 6th international conference on Artificial intelligence and law
Methodologies, tools and languages for building ontologies: where is their meeting point?
Data & Knowledge Engineering
Artificial Intelligence - Special issue on AI and law
Predicting outcomes of case based legal arguments
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Investigating ontology development for engineering design support
Advanced Engineering Informatics
An ontology engineering methodology for DOGMA
Applied Ontology - Ontological Foundations of Conceptual Modelling
A software engineering approach to ontology building
Information Systems
An ontology in OWL for legal case-based reasoning
Artificial Intelligence and Law
Police Investigation Management System Based on the Workflow Technology
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
Applying the c.DnS Design Pattern to Obtain an Ontology for Investigation Management System
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Usage of the Jess Engine, Rules and Ontology to Query a Relational Database
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
Measuring design complexity of semantic web ontologies
Journal of Systems and Software
Application of an ontology-based model to a selected fraudulent disbursement economic crime
AICOL-I/IVR-XXIV'09 Proceedings of the 2009 international conference on AI approaches to the complexity of legal systems: complex systems, the semantic web, ontologies, argumentation, and dialogue
RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
Fuel crime conceptualization through specialization of ontology for investigation management system
Transactions on computational collective intelligence II
Towards ontology of fraudulent disbursement
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Extended rules in knowledge-based data access
RuleML'11 Proceedings of the 5th international conference on Rule-based modeling and computing on the semantic web
Ontology engineering revisited: an iterative case study
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
No model behaviour: ontologies for fraud detection
Law and the Semantic Web
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We consider the ontological modeling of knowledge concerning the class of linked economic crimes, namely the fraudulent disbursement accompanied by money laundering. The applied method of conceptual modeling results in obtaining a layered ontological structure with the foundational ontology on top of it and the application ontology at its bottom. As the foundational level we use the constructive descriptions and situations ontology. The application level entities were manually separated from the motivating crime scenarios. The latter level covers both the conceptualization of "a domain" whose attributes and relations are of interest and "a task" that supports the realization of the functionality of a crime analysis application. The domain-based part of the ontology is engineered in the OWL language while the task-based part, designed to support knowledge extraction from databases, is implemented via rules in the SWRL language. The rules are used to extract data concerning: documents and their attributes, the formal hierarchy in a company and the parameters of transactions. They are also used to deduce sanctions against people engaged in a crime.