Hypercane:网络档案集合的智能采样

2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) Pub Date : 2021-09-01 DOI:10.1109/JCDL52503.2021.00049

Shawn M. Jones, Michele C. Weigle, Martin Klein, Michael L. Nelson

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引用次数: 3

摘要

人们可以从web存档集合中选择单独的文档，但如果他们不熟悉这个集合，这样做是困难的。问题在于规模。大多数网络存档集合由数千个文档组成。Hypercane是一种工具，它可以自动从web存档集合中选择文档，以进行汇总或集合探索。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Hypercane: Intelligent Sampling for Web Archive Collections

Humans can choose individual documents from a web archive collection, but doing so is difficult if they are unfamiliar with the collection. The issue is scale. Most web archive collections consist of thousands of documents. Hypercane is a tool that automates the selection of documents from a web archive collection for summarization or collection exploration.

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2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

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