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pro vyhledávání: '"Jones, Shawn M."'
Autor:
Ajayi, Kehinde, Wei, Xin, Gryder, Martin, Shields, Winston, Wu, Jian, Jones, Shawn M., Kucer, Michal, Oyen, Diane
Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. However, these research fields are still limited by the sheer volume, versatility, and diversity of the availab
Externí odkaz:
http://arxiv.org/abs/2311.04098
Autor:
Jones, Shawn M., Oyen, Diane
Understanding the spread of images across the web helps us understand the reuse of scientific visualizations and their relationship with the public. The "Flatten the Curve" graphic was heavily used during the COVID-19 pandemic to convey a complex con
Externí odkaz:
http://arxiv.org/abs/2307.06458
Autor:
Jones, Shawn M., Oyen, Diane
Much computer vision research has focused on natural images, but technical documents typically consist of abstract images, such as charts, drawings, diagrams, and schematics. How well do general web search engines discover abstract images? Recent adv
Externí odkaz:
http://arxiv.org/abs/2211.02115
Autor:
Jayanetti, Himarsha R., Jones, Shawn M., Klein, Martin, Osbourne, Alex, Koerbin, Paul, Nelson, Michael L., Weigle, Michele C.
As web archives' holdings grow, archivists subdivide them into collections so they are easier to understand and manage. In this work, we review the collection structures of eight web archive platforms: : Archive-It, Conifer, the Croatian Web Archive
Externí odkaz:
http://arxiv.org/abs/2209.08649
Autor:
Jones, Shawn M., Neblitt-Jones, Valentina, Weigle, Michele C., Klein, Martin, Nelson, Michael L.
In a perfect world, all articles consistently contain sufficient metadata to describe the resource. We know this is not the reality, so we are motivated to investigate the evolution of the metadata that is present when authors and publishers supply t
Externí odkaz:
http://arxiv.org/abs/2104.04116
To allow previewing a web page, social media platforms have developed social cards: visualizations consisting of vital information about the underlying resource. At a minimum, social cards often include features such as the web resource's title, text
Externí odkaz:
http://arxiv.org/abs/2103.04899
Publikováno v:
Presented at the Web Archiving and Digital Libraries 2020 Workshop
Tools such as Google News and Flipboard exist to convey daily news, but what about the past? In this paper, we describe how to combine several existing tools with web archive holdings to perform news analysis and visualization of the "biggest story"
Externí odkaz:
http://arxiv.org/abs/2008.00139
Publikováno v:
Presented at the Web Archiving and Digital Libraries 2020 Workshop
For traditional library collections, archivists can select a representative sample from a collection and display it in a featured physical or digital library space. Web archive collections may consist of thousands of archived pages, or mementos. How
Externí odkaz:
http://arxiv.org/abs/2008.00137
Used by a variety of researchers, web archive collections have become invaluable sources of evidence. If a researcher is presented with a web archive collection that they did not create, how do they know what is inside so that they can use it for the
Externí odkaz:
http://arxiv.org/abs/1905.11342
Web archives, a key area of digital preservation, meet the needs of journalists, social scientists, historians, and government organizations. The use cases for these groups often require that they guide the archiving process themselves, selecting the
Externí odkaz:
http://arxiv.org/abs/1806.06878