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Using Quantitative Information to Improve Analogical Matching Between Sketches

机译:使用定量信息改善草图之间的类比匹配

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摘要

Qualitative representations are suitable for sketch understanding systems because they highlight important relationships while leaving out details that are not essential for conceptual understanding. These representations can be used to perform spatial analogies between sketches, which determine qualitative similarities and differences. However, there are cases where including quantitative information is necessary for accurately representing a sketch. We describe a method for using quantitative information to constrain qualitative spatial analogies. The utility of this method is demonstrated in the context of a sketch based educational software system. Importantly, using quantitative information to improve analogical matches is not domain specific. It can be used in any situation where qualitative and quantitative spatial information must be combined to accurately interpret a sketch. This approach has the potential to improve sketch understanding in educational software applications for highly spatial domains.
机译:定性表示适用于草图理解系统,因为它们突出了重要的关系,同时省略了对于概念理解不是必需的细节。这些表示可用于在草图之间执行空间类比,从而确定定性的相似性和差异。但是,在某些情况下,必须包含定量信息才能准确表示草图。我们描述了一种使用定量信息来约束定性空间类比的方法。在基于草图的教育软件系统的上下文中演示了此方法的实用性。重要的是,使用定量信息来改善类比匹配不是特定领域的。它可以用于必须结合定性和定量空间信息以准确解释草图的任何情况。这种方法有可能提高对高度空间域的教育软件应用程序中草图的理解。

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