Computer Science – Artificial Intelligence
Scientific paper
2011-07-11
Computer Science
Artificial Intelligence
Proceedings of the Doctoral Consortium and Poster Session of the 5th International Symposium on Rules (RuleML 2011@IJCAI), pag
Scientific paper
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 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.
No associations
LandOfFree
Rule-based query answering method for a knowledge base of economic crimes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Rule-based query answering method for a knowledge base of economic crimes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Rule-based query answering method for a knowledge base of economic crimes will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-138242