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Dipe-D: A Tool for Knowledge-Based Query Formulation in Information Retrieval

机译：Dipe-D：信息检索中基于知识的查询公式化工具

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The paper reports the development of Dipe-D, a knowledge-based procedure for the formulation of Boolean queries in information retrieval. Dipe-D creates a query in two steps: (1) the user's information need is developed interactively, while identifying the concepts of the information need, and subsequently (2) the collection of concepts identified is automatically transformed into a Boolean query. In the first step, the subject area―as represented in a knowledge base―is explored by the user. He does this by means of specifying the (concepts that meet his) information need in an artificial language and looking through the solution as provided by the computer. The specification language allows one to specify concepts by their features, both in precise terms as well as vaguely. By repeating the process of specifying the information need and exploring the resulting concepts, the user may precisely single out the concepts that describe his information need. In the second step, the program provides the designations (and variants) for the concepts identified, and connects them by appropriate operators. Dipe-D is meant to improve on existing procedures that identify the concepts less systematically, create a query manually, and then sometimes expand that query. Experiments are reported on each of the two steps; they indicate that the first step identifies only but not all the relevant concepts, and the second step performs (at least) as good as human beings do.
机译：该论文报告了Dipe-D的发展，Dipe-D是一种基于知识的过程，用于在信息检索中制定布尔查询。 Dipe-D分两个步骤创建查询：（1）在确定信息需求的概念的同时，交互式开发用户的信息需求，然后（2）将所标识的概念的集合自动转换为布尔查询。第一步，用户探索知识库中所代表的主题领域。他通过用人工语言指定（满足他的概念）信息需求并查看计算机提供的解决方案来做到这一点。规范语言允许人们以精确的术语或模糊的术语通过其特征来指定概念。通过重复指定信息需求的过程并探究结果概念，用户可以精确地选择描述其信息需求的概念。在第二步中，程序为识别出的概念提供名称（和变体），并由适当的运算符将它们连接起来。 Dipe-D旨在改进现有的过程，这些过程不太系统地识别概念，手动创建查询，然后有时会扩展该查询。实验报告了两个步骤中的每个步骤。它们表明第一步仅识别而不是所有相关概念，第二步的执行（至少）与人类一样好。

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