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A Knowledge-based Method of Multilevel Query in Relational Database

机译:基于知识的关系数据库中的多级查询方法

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There is a kind of query that users tend to use fuzzy concepts to express the query requirements. In the relational database, the query based on concepts as inputs cannot be directly executed. The basic method converts users' fuzzy concepts into precise concepts based on the domain knowledge. In practice, a fuzzy condition is often composed of the high and multilevel concepts, so its conversion of the concepts is very complex, and its efficiency is poor. A new knowledge-based method of multilevel query is proposed in this paper, and it is achieved on generalized data. Experiments show that the query efficiency of the method proposed in the paper is better than the basic method on multiple levels. It may provide efficient methods for the query about housing products in rural town, and it can meet the needs of customers with different knowledge, and it has higher practical value.
机译:有一种查询,用户倾向于使用模糊概念来表达查询要求。在关系数据库中,无法直接执行基于概念的查询。基本方法基于域知识将用户的模糊概念转换为精确的概念。在实践中,模糊条件通常由高和多级概念组成,因此其对概念的转换非常复杂,其效率差。本文提出了一种新的基于知识的多级查询方法,并在广义数据上实现。实验表明,纸张提出的方法的查询效率优于多级的基本方法。它可能为您在农村城镇的房屋产品查询提供有效的方法,可以满足不同知识的客户需求,具有更高的实用价值。

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