Leveraging Machine Learning to Extract Content-Rich Publications from Web Archives

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Poster presented at the 2019 Texas Conference on Digital Libraries (TCDL-2019). This poster discusses about ways of Identifying content-rich documents among the wealth of materials available via web archives. This research attempts to answers the following two research questions: 1. What role do web-published documents and publications play in developing collections in the broad categories of institutional repositories, state government documents, and publications from the federal government? 2. What are the characteristics of web-published documents and publications that help content selectors identify them for inclusion in their local collection

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1 p. : ill.

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Fox, Nathaniel T. & Phillips, Mark Edward May 22, 2019.

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This presentation is part of the collection entitled: UNT Scholarly Works and was provided by the UNT Libraries to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 98 times. More information about this presentation can be viewed below.

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Description

Poster presented at the 2019 Texas Conference on Digital Libraries (TCDL-2019). This poster discusses about ways of Identifying content-rich documents among the wealth of materials available via web archives. This research attempts to answers the following two research questions: 1. What role do web-published documents and publications play in developing collections in the broad categories of institutional repositories, state government documents, and publications from the federal government? 2. What are the characteristics of web-published documents and publications that help content selectors identify them for inclusion in their local collection

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1 p. : ill.

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  • Texas Conference on Digital Libraries (TCDL-2019), May 20-23, 2019. Austin, Texas

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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Leveraging Machine Learning to Extract Content-Rich Publications from Web Archives (Presentation)

Leveraging Machine Learning to Extract Content-Rich Publications from Web Archives

Presentation for the 2019 International Internet Preservation Consortium General Assembly and Web Archiving Conference. This presentation discusses research into leveraging machine learning to identify pdfs relevant to a collection from archived records.

Leveraging Machine Learning to Extract Content-Rich Publications from Web Archives - ark:/67531/metadc1608972

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  • May 22, 2019

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  • Aug. 27, 2019, 2:15 p.m.

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  • Nov. 13, 2025, 9:48 a.m.

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Fox, Nathaniel T. & Phillips, Mark Edward. Leveraging Machine Learning to Extract Content-Rich Publications from Web Archives, presentation, May 22, 2019; (https://digital.library.unt.edu/ark:/67531/metadc1533639/: accessed April 13, 2026), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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