基于规则的经济犯罪知识库查询应答方法
Rule-based query answering method for a knowledge base of economic crimes
摘要：
我们提出了一个描述的博士论文，其目的是提出一个基于规则的查询回答方法的关系数据。在这种方法中，我们使用一个额外的知识，这是表示为一组规则，并描述了源数据在概念（本体）的水平。从抽象层次上提出了新的概念。我们提出了两种方法。第一个使用混合推理，第二个只利用正向链接。这两种方法通过与Jess引擎耦合的系统的原型实现来演示。对选定的经济犯罪（欺诈性付款和洗钱）的知识库进行了测试。
英文摘要：
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.
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