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Aggregator Reuse and Extension for Richer Web Archive Interaction
Conference proceeding   Open access   Peer reviewed

Aggregator Reuse and Extension for Richer Web Archive Interaction

Mat Kelly
From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries, ICADL 2022, v 13636, pp 313-328
01 Jan 2022
url
https://arxiv.org/pdf/2210.01196View

Abstract

Computer Science, Artificial Intelligence Computer Science, Information Systems Information Science & Library Science Science & Technology Computer Science Technology
Memento aggregators enable users to query multiple web archives for captures of a URI in time through a single HTTP endpoint. While this one-to-many access point is useful for researchers and end-users, aggregators are in a position to provide additional functionality to end-users beyond black box style aggregation. This paper identifies the state-of-the-art of Memento aggregation, abstracts its processes, highlights shortcomings, and offers systematic enhancements.

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Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Information Science & Library Science
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