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Querying database knowledge

机译:查询数据库知识

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摘要

The role of database knowledge is usually limited to the evaluation of data queries. In this paper we argue that when this knowledge is of substantial volume and complexity, there is genuine need to query this repository of information. Moreover, since users of the database may not be able to distinguish between information that is data and information that is knowledge, access to knowledge and data should be provided with a single, coherent instrument. We provide an informal review of various kinds of knowledge queries, with possible syntax and semantics. We then formalize a framework of knowledge-rich databases, and a simple query language consisting of a pair of retrieve and describe statements. The retrieve statement is for querying the data (it corresponds to the basic retrieval statement of various knowledge-rich database systems). The describe statement is for querying the knowledge. Essentially, it inquires about the meaning of a concept under specified circumstances. We provide algorithms for evaluating sound and finite knowledge answers to describe queries, and we demonstrate them with examples.

机译:

数据库知识的作用通常仅限于数据查询的评估。在本文中,我们认为,当这种知识量很大且很复杂时,确实需要查询此信息存储库。此外,由于数据库的用户可能无法区分作为数据的信息和作为​​知识的信息,因此应该使用单个一致的工具来提供对知识和数据的访问。我们对各种知识查询以及可能的语法和语义进行了非正式的回顾。然后,我们将知识丰富的数据库框架和由一对检索和描述语句组成的简单查询语言形式化。检索语句用于查询数据(它对应于各种知识丰富的数据库系统的基本检索语句)。 describe语句用于查询知识。本质上,它查询特定条件下概念的含义。我们提供了评估声音和有限知识答案以描述查询的算法,并通过示例进行了演示。

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