Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/ruleml2011-europe/paper/109> ?p ?o. }
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- 109 creator jaroslaw-bak.
- 109 type InProceedings.
- 109 label "Rule-based query answering method for a knowledge base of economic crimes".
- 109 sameAs 109.
- 109 abstract "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.".
- 109 hasAuthorList authorList.
- 109 isPartOf proceedings.
- 109 keyword "Jess engine".
- 109 keyword "Rule-based query answering".
- 109 keyword "SDL library".
- 109 keyword "economic crimes".
- 109 keyword "relational data access".
- 109 title "Rule-based query answering method for a knowledge base of economic crimes".