Extending Keyword Search to Metadata on Relational Databases

Jiajun Gu, H. Kitagawa
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引用次数: 6

Abstract

Keyword search is familiar to general users as the most popular information retrieval method, especially for searching on the Web because of its user-friendly way. In recent years various approaches to free-form keyword search over RDBMS have been proposed. They can produce results across multiple tuples in different relations according to a query consisting of a set of keywords. However, they just consider keyword search for values in tuple instances. In fact users have requirements to search keywords which may be part of the metadata of the database such as names of relations or attributes. In this paper, we extend keyword search on relational database. We define a tuple with annotation as an extension concept of a conventional tuple. In addition we add proposed weight to tuples. The weight function also cares about metadata information. We implement the query processing scheme in RDBMS in order to prove the proposed approach.
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将关键字搜索扩展到关系数据库的元数据
关键词搜索作为一种最常用的信息检索方法,被广大用户所熟悉,尤其是在网络上的搜索,因为它具有用户友好的方式。近年来,人们提出了各种基于RDBMS的自由格式关键字搜索方法。它们可以根据由一组关键字组成的查询,跨不同关系的多个元组生成结果。但是,它们只考虑对元组实例中的值进行关键字搜索。实际上,用户有搜索关键字的需求,这些关键字可能是数据库元数据的一部分,例如关系或属性的名称。本文对关系型数据库中的关键词搜索进行了扩展。我们将带注释的元组定义为传统元组的扩展概念。此外,我们向元组添加建议的权重。权重函数还关心元数据信息。为了验证所提出的方法,我们在RDBMS中实现了查询处理方案。
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