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Enhanced Query-By-Object Approach for Information Requirement Elicitation in Large Databases

机译:在大型数据库中增强了逐对象的查询方法,用于信息要求委员会

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Information Requirement Elicitation (IRE) recommends a framework for developing interactive interfaces, which allow users to access database systems without having prior knowledge of a query language. An approach called 'Query-by-Object' (QBO) has been proposed in the literature for IRE by exploiting simple calculator like operations. However, the QBO approach was proposed by assuming that the underlying database is simple and contains few tables of small size. In this paper, we propose an enhanced QBO approach called Query-by-Topics (QBT), for designing calculator like user interfaces for large databases. We use methodologies for clustering database entities and discovering topical structures to represent objects at a higher level of abstraction. The QBO approach is then enhanced to allow users to query by topics (QBT). We developed a prototype system based on QBT and conducted experimental studies to show effectiveness of the proposed approach.
机译:信息要求elicitation(IRE)推荐一个开发交互式接口的框架,允许用户访问数据库系统而不先前了解查询语言。通过利用类似操作的简单计算器,在文献中提出了一种名为“逐个对象”(QBO)的方法,以便是操作。但是,通过假设底层数据库简单并包含小尺寸的表格,提出了QBO方法。在本文中,我们提出了一种增强的QBO方法,称为逐个主题(QBT),用于设计计算器,如大型数据库的用户界面。我们使用群集数据库实体的方法,并发现局部结构以表示更高的抽象级别的对象。然后增强QBO方法以允许用户通过主题(QBT)查询。我们开发了一种基于QBT的原型系统,并进行了实验研究,以表明提出的方法的有效性。

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