Hierarchical Multifocus Navigation in Text Annotation Data

M. Baumann, Jena Satkunarajan, Steffen Koch, T. Ertl
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Abstract

We present a new hierarchical multifocus representation- and interaction-technique for the analysis of text annotations. The comparative analysis of annotation data on multiple, distant passages (focus regions) of a long source text raises several scalability problems. In particular, one soon can be confronted with many nested foci on text ranges with sizes of different orders of magnitude. Our solution suggests to delegate the detailed data representation to other views and to concentrate in the presented overview on the organization of the focus regions. The approach consists of three parts: a collection of strips where the annotations are represented in a condensed form and where sibling- and child-foci are manipulated, a map of the resulting tree of foci for direct access, and a work bench that allows to compare deliberate nodes of the tree on a flat layer. We discuss our approach by comparing it with other state-of-the-art multifocus techniques and describe two use cases that deal with relational annotation and with the analysis of annotations on hierarchical text structures respectively.
文本标注数据中的分层多焦点导航
提出了一种新的分层多焦点表示与交互技术,用于文本注释分析。对长源文本的多个遥远段落(焦点区域)的注释数据进行比较分析,会引起几个可伸缩性问题。特别是,人们很快就会遇到许多嵌套的焦点,它们位于大小不同数量级的文本范围上。我们的解决方案建议将详细的数据表示委托给其他视图,并将介绍的概述集中在重点区域的组织上。该方法由三部分组成:一组条带,其中注释以浓缩形式表示,兄弟焦点和子焦点在其中被操作;一个结果焦点树的地图,用于直接访问;以及一个工作台,允许在平面层上比较树的故意节点。我们通过将我们的方法与其他最先进的多焦点技术进行比较来讨论我们的方法,并分别描述了处理关系注释和分析分层文本结构上的注释的两个用例。
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