An ontology in OWL for legal case-based reasoning
Artificial Intelligence and Law
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
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
Ontological modeling of a class of linked economic crimes
Transactions on Computational Collective Intelligence IX
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The task to ontologically model the knowledge concerning the selected class of economic crimes is considered; particularly we focus on fraudulent disbursement. The ontology has a layered structure with the foundational ontology (constructive descriptions and situations) on the structure's top and the application ontology at the structure's bottom. The application level entities were manually separated from the motivating crime scenarios, having a domain- and a task-based parts. Domain-based ontology contains descriptions of attributes and relations of the domain while the task-based part, designed to support the knowledge extraction from databases, is implemented via rules that are used to extract data about documents and their attributes, transactions, engaged people actions and their legal qualifications.