Presented at: The 5th International Symposium on Rules: Research Based and Industry Focused (Barcelona) (RuleML2011-Europe)
by Jaroslaw Bak
Rules and Automated Reasoning, Rules, Agents and Norms, Vocabularies, Ontologies, and Business rules Abstract: We present a description of the PhD thesis which aims to propose a rule-based query answering method for relational data. In this approach we use an additional knowledge which is represented as a set of rules and describes the source data at concept (ontological) level. Queries are posed in the terms of abstract level. We present two methods. The first one uses hybrid reasoning and the second one exploits only forward chaining. These two methods of the rule-based query answering are demonstrated by the prototypical implementation of the system coupled with the Jess engine. Tests are performed on the knowledge base of the selected economic crimes: fraudulent disbursement and money laundering.
Keywords: Jess engine, Rule-based query answering, SDL library, economic crimes, relational data access
Resource URI on the dog food server: http://data.semanticweb.org/conference/ruleml-eu/2011/paper/109
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