Poster Open Access

Transmuted PIDs, expanded coverage!

Takano, Yasutomo; Mejia, Cristian; Miyairi, Nobuko; Boruta, Luc; Vannson, Damien; McKay, Casey Scott


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Takano, Yasutomo</dc:creator>
  <dc:creator>Mejia, Cristian</dc:creator>
  <dc:creator>Miyairi, Nobuko</dc:creator>
  <dc:creator>Boruta, Luc</dc:creator>
  <dc:creator>Vannson, Damien</dc:creator>
  <dc:creator>McKay, Casey Scott</dc:creator>
  <dc:date>2019-01-23</dc:date>
  <dc:description>In the era of AI, we find that users need more education in using PIDs consistently, making it difficult for AI-based services to retrieve the necessary data. To bridge that gap, Paper Digest leverages Cobaltmetrics’ URI transmutation API to convert URLs or other text inputs into DOIs, and then attempts to summarize by looking for an XML version or an alternative PDF of the academic articles.</dc:description>
  <dc:identifier>https://zenodo.org/record/2548721</dc:identifier>
  <dc:identifier>10.5281/zenodo.2548721</dc:identifier>
  <dc:identifier>oai:zenodo.org:2548721</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.2548720</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/pidapalooza19</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>summarization</dc:subject>
  <dc:subject>digests</dc:subject>
  <dc:subject>URI transmutation</dc:subject>
  <dc:title>Transmuted PIDs, expanded coverage!</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePoster</dc:type>
  <dc:type>poster</dc:type>
</oai_dc:dc>
120
66
views
downloads
All versions This version
Views 120121
Downloads 6666
Data volume 20.6 MB20.6 MB
Unique views 103104
Unique downloads 5656

Share

Cite as