论文标题
Shari-一系列可视化日子故事的工具
SHARI -- An Integration of Tools to Visualize the Story of the Day
论文作者
论文摘要
存在Google News和Flipboard等工具来传达每日新闻，但是过去呢？在本文中，我们描述了如何将几种现有工具与Web存档持有量相结合，以在给定的日期对“最大故事”进行新闻分析和可视化。故事图将新闻文章集中在一起，以确定一个常见的新闻故事。 Hypercane利用Archivenow存储由Storygraph在Web档案中生成的URL。 Hypercane分析了这些URL，以确定最常见的术语，实体和最高质量的图像，以进行社交媒体讲故事。然后，拉特莱（Raintale）使用这些工具的输出在给定的一天中可视化新闻故事。我们将这个过程命名为Shari（Storygraph Hypercane Archivenow Raintale Integration）。
Tools such as Google News and Flipboard exist to convey daily news, but what about the past? In this paper, we describe how to combine several existing tools with web archive holdings to perform news analysis and visualization of the "biggest story" for a given date. StoryGraph clusters news articles together to identify a common news story. Hypercane leverages ArchiveNow to store URLs produced by StoryGraph in web archives. Hypercane analyzes these URLs to identify the most common terms, entities, and highest quality images for social media storytelling. Raintale then uses the output of these tools to produce a visualization of the news story for a given day. We name this process SHARI (StoryGraph Hypercane ArchiveNow Raintale Integration).
