Difference between revisions of "APIs"

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(Metadata roundtripping)
(Data provenance)
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# Maybe the GLAM could query Wikidocumentaries for changed information?
 
# Maybe the GLAM could query Wikidocumentaries for changed information?
  
==Data provenance==
+
==Consolidate data from different sources for the same item==
 +
Especially if Wikidocumentaries decides to store images or their metadata locally, these scenarios become available.
 +
* Similar images from different sources can be detected. Their metadata can be compared, and the user is asked to verify the correct information. The updated data is saved in the central repository (Wikimedia Commons) with a reference to the source that provided this information. One of the information types that can be compared is the copyright status.
  
 
==Search criteria for different media types==
 
==Search criteria for different media types==

Revision as of 20:12, 7 November 2021

Seaching for related content

Several components can ideally display content from sources across the web. The goal is to make available tools to enrich Wikimedia projects with then. Possible scenarios include

For images

  • Find PD or openly licensed images for a topic in different image repositories, based on all the available data in Wikidata (labels in different languages, aliases, time, location, authority data, other related information)
  • Match metadata fields to Wikidata or SDC properties.
  • Instantly save image metadata without reconciliation as text. Provide opportunities to associate them with Wikidata items.
  • Save and share metadata field mappings for later use or for use by others.
  • Detect similar images in different repositories
  • Compare and consolidate metadata from different sources.
  • Store metadata statement sources and create data provenance based on that.
  • Manage copyright status for images based on information about creators.

Metadata roundtripping

Metadata transformation.png

  1. GLAM makes available images and their metadata through their public API. Wikidocumentaries uses many properties from the current topic to query that.
  2. When reading the data through the Wikidocumentaries API, the metadata is normalized using different transformations for each GLAM.
  3. The metadata from different GLAMs is displayed in a uniform format in the Wikidocumentaries metadata display.
  4. When an image is saved to Wikimedia projects, users can reconcile string values with Wikidata items. String values can be saved as well, they will be available for reconciling later.
  5. In the Wikidocumentaries metadata interface, the string values are replaced by reconciled Wikidata items. Differences between the source data from the GLAM and Wikidata, such as recent changes in the GLAM's metadata, can also be highlighted.
  6. Maybe the GLAM could query Wikidocumentaries for changed information?

Consolidate data from different sources for the same item

Especially if Wikidocumentaries decides to store images or their metadata locally, these scenarios become available.

  • Similar images from different sources can be detected. Their metadata can be compared, and the user is asked to verify the correct information. The updated data is saved in the central repository (Wikimedia Commons) with a reference to the source that provided this information. One of the information types that can be compared is the copyright status.

Search criteria for different media types

Images

Image search is ideally based on

  • Item label in the current language > must be changed to read the most suitable label.
  • Native label
  • Aliases > Which languages
  • Item location > must be made more contextual
  • Item date

Digitized maps

  • Date
  • Names of historical administrative entities
  • Zoom level / scale

Wikimedia APIs

Image APIs

Data APIs

  • Nimiarkisto.fi
  • Linked Data Finland
    • BiographySampo
    • SotaSampo
  • FIN-CLARIN

Map APIs


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