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Dynamic Query Forms for Database Queries

机译:数据库查询的动态查询表单

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Modern scientific databases and web databases maintain large and heterogeneous data. These real-world databases contain hundreds or even thousands of relations and attributes. Traditional predefined query forms are not able to satisfy various ad-hoc queries from users on those databases. This paper proposes DQF, a novel database query form interface, which is able to dynamically generate query forms. The essence of DQF is to capture a user’s preference and rank query form components, assisting him/her in making decisions. The generation of a query form is an iterative process and is guided by the user. At each iteration, the system automatically generates ranking lists of form components and the user then adds the desired form components into the query form. The ranking of form components is based on the captured user preference. A user can also fill the query form and submit queries to view the query result at each iteration. In this way, a query form could be dynamically refined until the user is satisfied with the query results. We utilize the expected F-measure for measuring the goodness of a query form. A probabilistic model is developed for estimating the goodness of a query form in DQF. Our experimental evaluation and user study demonstrate the effectiveness and efficiency of the system.
机译:现代科学数据库和网络数据库维护着庞大且异构的数据。这些真实的数据库包含数百甚至数千个关系和属性。传统的预定义查询形式无法满足那些数据库中用户的各种即席查询。本文提出了一种新颖的数据库查询表单接口 DQF ,它可以动态生成查询表单。 DQF 的本质是捕获用户的首选项并对查询表单组件进行排名,以帮助他/她做出决策。查询表单的生成是一个迭代过程,并由用户指导。在每次迭代时,系统自动生成表单组件的排名列表,然后用户将所需的表单组件添加到查询表单中。表单组件的排名基于捕获的用户首选项。用户还可以填写查询表单并提交查询,以在每次迭代时查看查询结果。以这种方式,可以动态地优化查询表单,直到用户对查询结果感到满意为止。我们利用预期的F量度来衡量查询表单的良好程度。开发了一种概率模型,用于估计 DQF 中查询表单的优劣。我们的实验评估和用户研究证明了该系统的有效性和效率。

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