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Managing uncertainty in location-based queries

机译：管理基于位置的查询中的不确定性

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Location-based queries (LBQ) are becoming more and more useful in location-based services (LBSs) such as those provided through mobile phones, personal digital assistants (PDAs), and laptops. They are context aware since they support the access to information by taking into account the spatial context of the user when submitting the query, and the spatial location of the searched information (instances). Generally, the key-selection condition is a constraint on the distance of the instances from the user location. One deficiency of current approaches in evaluating LBQs is the fact that they do not manage the uncertainty that often characterizes the knowledge of either the user position or the searched instances or both of them, thus they do not produce query answers with estimates of their possible validity. In the paper, after analyzing the processes involved in a LBS that may generate uncertainty, a model for representing and evaluating LBQs affected by uncertainty is proposed, in which uncertainty and imprecision can affect both location information and the spatial condition, i.e., the query scope. Distinct situations of uncertainty in LBQs are analyzed and for each of them a two-step evaluation procedure is proposed based on a fixed-cost filter phase and on a refinement phase that produces ranked results reflecting an estimate of their validity.
机译：基于位置的查询（LBQ）在基于位置的服务（LBS）中正变得越来越有用，例如通过移动电话，个人数字助理（PDA）和便携式计算机提供的服务。它们具有上下文意识，因为它们通过在提交查询时考虑用户的空间上下文以及搜索到的信息（实例）的空间位置来支持对信息的访问。通常，键选择条件是对实例到用户位置的距离的约束。当前评估LBQ的方法的一个不足之处是，它们无法管理经常表征用户位置或搜索到的实例或两者的知识的不确定性，因此，它们不会生成带有其可能有效性估计值的查询答案。 。本文在分析了可能产生不确定性的LBS中涉及的过程之后，提出了一种表示和评估受不确定性影响的LBQ的模型，其中不确定性和不精确性会影响位置信息和空间条件，即查询范围。分析了LBQ的不确定性的不同情况，并针对每种情况提出了两步评估程序，该程序基于固定成本过滤器阶段和细化阶段，该阶段会产生反映其有效性估计的排名结果。

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