https://github.com/oduwsdl/hypercane

A toolkit for developing algorithms that sample mementos from a web archive collection.
https://github.com/oduwsdl/hypercane

clustering filtering memento sampling storytelling summarization webarchives

Last synced: about 1 year ago
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A toolkit for developing algorithms that sample mementos from a web archive collection.

• Host: GitHub
• URL: https://github.com/oduwsdl/hypercane
• Owner: oduwsdl
• License: mit
• Created: 2019-02-12T19:34:29.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2022-11-06T18:17:58.000Z (over 3 years ago)
• Last Synced: 2025-04-12T00:03:21.318Z (about 1 year ago)
• Topics: clustering, filtering, memento, sampling, storytelling, summarization, webarchives
• Language: Python
• Homepage: https://oduwsdl.github.io/hypercane
• Size: 8.28 MB
• Stars: 5
• Watchers: 2
• Forks: 3
• Open Issues: 14
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

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README

          
**This is a historical repository preserving the last work with Hypercane at Old Dominion University before its transition to Los Alamos National Laboratory.**

**Please follow continuing Hypercane development at: https://github.com/lanl/hypercane**



# Hypercane

Hypercane is a framework for building algorithms for sampling mementos from a web archive collection. Hypercane is the entry point of the [Dark and Stormy Archives (DSA) toolkit](https://oduwsdl.github.io/dsa/). A user can generate samples with Hypercane and then view those samples via the Web Archive Storytelling tool [Raintale](https://oduwsdl.github.io/raintale/), thus allowing the user to automatically summarize a web archive collection as a few small samples visualized as a social media story.