File:WikidataCon 2017 - Wikidata for biomedical knowledge integration and curation.webm

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Original file (WebM audio/video file, VP8/Vorbis, length 30 min 29 s, 1,024 × 576 pixels, 255 kbps overall, file size: 55.66 MB)

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English: * speaker: Gregory Stupp
  • abstract: The sum total of biomedical knowledge is accumulating at an explosive rate. There are now over 1.2 million new articles published every year, averaging to one new article every 26 seconds. Unfortunately, however, the entirety of that knowledge is not easily accessible. In most cases, biomedical knowledge is locked away in free-text research articles, which are very difficult to use for querying and computation. In some cases, that knowledge has been deposited in structured databases, but even then the fragmented landscape of such databases is a barrier to knowledge integration. Here, we describe the use of Wikidata as an open, community-maintained biomedical knowledge base. We have seeded Wikidata with data on key biomedical entities, including genes, proteins, diseases, drugs, genetic variants, and microbes. To ensure source databases are properly credited, we have implemented a standardized model for referencing and attribution. These data, combined with other data sets imported by the broader Wikidata community, enable powerful integrative queries that span multiple domain areas via the Wikidata SPARQL endpoint. The emphasis of this abstract is on Wikidata as resource for biomedical Open Data that can serve as a foundation for other bioinformatics applications and analyses. In addition, the code developed to execute this project is also available as Open Source software. This suite of code includes modules for populating Wikidata, for automatically synchronizing with source databases, and for creating domain-specific applications to engage specific user communities.
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Source Daniel Molkentin
Author camera: Daniel Molkentin

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Date/TimeThumbnailDimensionsUserComment
current14:48, 8 December 201730 min 29 s, 1,024 × 576 (55.66 MB)Milan Weyrauch (WMDE) (talk | contribs)User created page with UploadWizard

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Format Bitrate Download Status Encode time
VP9 480P 228 kbps Completed 10:37, 27 October 2018 17 min 25 s
VP9 360P 164 kbps Completed 10:30, 27 October 2018 10 min 55 s
VP9 240P 135 kbps Completed 10:27, 27 October 2018 7 min 47 s
WebM 360P 209 kbps Completed 15:03, 8 December 2017 14 min 49 s
QuickTime 144p (MJPEG) Not ready Unknown status

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