DiagramFlyer: A Search Engine for Data-Driven Diagrams
DiagramFlyer: A Search Engine for Data-Driven Diagrams
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DiagramFlyer：数据驱动图表的搜索引擎
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Eytan Adar
中科院分区：
文献类型：
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作者：
Zhe Chen;Michael J. Cafarella;Eytan Adar
大量数据只能通过数据驱动图(如条形图和散点图)获得。这些图表是图形和文本的风格化混合，是复杂的以数据为中心的生产管道的结果。不幸的是，文本和图像搜索引擎都没有利用这些特定于图表的属性，这使得用户很难在大型语料库中找到相关的图表。作为回应，我们提出了一种在网络上查找数据驱动图表的搜索引擎--DiagramFlyer。通过恢复图组件(例如，轴、标签等)的语义角色，我们为各种统计图提供刻面索引和检索。DiagramFlyer的一个独特功能是它能够“扩展”查询，不仅包括完全匹配的图表，还包括可能在其生产流水线方面相关的图表。我们通过索引从超过15万个PDF文档中提取的超过300K个图像来演示所产生的搜索系统。
A large amount of data is available only through data-driven diagrams such as bar charts and scatterplots. These diagrams are stylized mixtures of graphics and text and are the result of complicated data-centric production pipelines. Unfortunately, neither text nor image search engines exploit these diagram-specific properties, making it difficult for users to find relevant diagrams in a large corpus. In response, we propose DiagramFlyer, a search engine for finding data-driven diagrams on the web. By recovering the semantic roles of diagram components (e.g., axes, labels, etc.), we provide faceted indexing and retrieval for various statistical diagrams. A unique feature of DiagramFlyer is that it is able to "expand" queries to include not only exactly matching diagrams, but also diagrams that are likely to be related in terms of their production pipelines. We demonstrate the resulting search system by indexing over 300k images pulled from over 150k PDF documents.