2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2021
DOI: 10.1109/jcdl52503.2021.00049
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Hypercane: Intelligent Sampling for Web Archive Collections

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Cited by 5 publications
(4 citation statements)
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“…A good example is a local newspaper. A resident of Santa Fe, for example, will likely want to know what content is relevant to their city, and hence would be better served by the curation services of the Santa Fe New Mexican 18 than they would by the Seattle Times 19 . The newspaper changes every day, but the content reflects the local area.…”
Section: Only Displaying the Presentmentioning
confidence: 99%
See 1 more Smart Citation
“…A good example is a local newspaper. A resident of Santa Fe, for example, will likely want to know what content is relevant to their city, and hence would be better served by the curation services of the Santa Fe New Mexican 18 than they would by the Seattle Times 19 . The newspaper changes every day, but the content reflects the local area.…”
Section: Only Displaying the Presentmentioning
confidence: 99%
“…We designed Raintale this way so that users can easily integrate it into shell scripts with other utilities, such as Hypercane [19,20,21], that can provide it a list of mementos or an automated utility that might produce different templates for different use cases. We intend for Raintale to be part of an automated web archiving workflow, and we provide features that allow the archivist to customize its output to their needs.…”
Section: Telling Stories From Web Archives With Raintalementioning
confidence: 99%
“…-StoryGraph: a platform that downloads RSS feeds and analyzes the linked articles to cluster news stories [12] http://storygraph.cs.odu.edu/ -Hypercane: a framework for intelligently sampling and analyzing documents from web archive collections [5] https://oduwsdl.github.io/hypercane -ArchiveNow: a library developed by Aturban et al [2] that submits live web URI-Rs to web archives to create URI-Mshttps://github.com/oduwsdl/archivenow -Raintale: a MementoEmbed [3] client that creates stories from a sample of mementoshttps://oduwsdl. { "config": "/files/config/polar−media−consensus−graph/f6e84be9969ecef7adb20689002608d0/", "connected−comps": [ { "avg−degree": 4.318181818181818, "density": 0.10042283298097252, "node−details": { "annotation": "polarity", "color": "green", "connected−comp−type": "event" }, "nodes": [ 0, 1, ... additional node ids omitted for brevity ... ], "unique−source−count": 14 }, { "avg−degree": 1, "density": 1, "node−details": { "annotation": "polarity", "color": "red", "connected−comp−type": "cluster" }, "nodes": [ 9, 67 ], "unique−source−count": 2 } ], "links": [ { "rank": 1, "sim": 0.57, "source": 2, "target": 21, "label": "1 (0.57)", "label−description": "rank (sim)" }, ... additional link definitions omitted for brevity ... { "rank": 96, "sim": 0.3, "source": 53, "target": 73, "label": "96 (0.3)", "label−description": "rank (sim)" } ], "ner−version": "3.8.0", "nodes": [ ... other nodes omitted for brevity ... { "entities": [ { "class": "LOCATION", "entity": "Coney Island" }, { "class": "LOCATION", "entity": "Brooklyn" }, { "class": "PERSON", "entity": "Victor J.…”
Section: Introductionmentioning
confidence: 99%
“…Klein et al [8] have built collections from web archives by conducting focused crawls. Jones developed Hypercane [5] to intelligently sample mementos from larger collections. Jones also developed Raintale [4] for generating social media stories to summarize groups of mementos, providing visualizations that employ familiar techniques, like cards, that require no training for most users to understand.…”
Section: Introductionmentioning
confidence: 99%