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Preference-Based Query Tuning Through Refinement/Enlargement in a Formal Context

机译:基于偏好的查询通过在正式背景下通过细化/放大调整

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The user of an information system rarely knows exactly what he is looking for, but once shown a piece of information he can quickly tell whether it is what he needs. Query tuning is the process of searching for the query that best approximates the information need of the user. Typically, navigation and querying are two completely separate processes, and the user usually has to switch often from one to the other–a painstaking process producing a frustrating experience. In this paper, we propose an approach to query tuning that integrates navigation and querying into a single process, thus leading to a more flexible and more user friendly method of query tuning. The proposed approach is based on formal concept analysis, and models the directory of an information source as a formal context in which the underlying concept lattice serves for navigation and the attributes of the formal context serve for query formulation. In order to support the user in coping with a possibly overwhelming number of alternative query tunings, preferences are introduced.
机译:信息系统的用户很少知道他正在寻找的内容,但曾经过一段信息,他可以快速判断它是否需要。查询调整是搜索最佳近似于用户信息的查询的过程。通常,导航和查询是两个完全独立的过程,并且用户通常必须经常从一个到另一个产生令人沮丧的经历的艰苦体验。在本文中,我们提出了一种查询调整的方法,将导航和查询集成到一个过程中,从而导致更灵活,更友好的查询调整方法。所提出的方法基于正式的概念分析,并将信息源的目录模拟作为一个正式的上下文,其中底层概念格式用于导航和正式上下文的属性用于查询制定。为了支持用户在应对可能的替代查询调整的可能压倒数,介绍了偏好。

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