Wikipedia:Strukturerte data over hele Wikimedia

Fra Wikipedia, den frie encyklopedi

Strukturerte data over hele Wikimedia (engelsk: Structured Data Across Wikimedia, SDAW) er et prosjekt fra Wikimedia Foundation for å hjelpe oss å strukturere innholdet på wikitekstsider på en måte som er maskingjenkjennelig for å gjøre lesing, redigering og søking enklere og mer tilgjengelig på tvers av prosjektene og på internett for øvrig.

Det vil hjelpe brukere å knytte sammen innhold på tvers av Wikimedia-prosjekter, hjelpe lesere med å komme dypere inn i Wikimedias økosystem, og hjelpe bidragsytere med å formidle kunnskap på tvers av prosjektene og videre på en Wikidata-aktig måte. Prosjektet vil også være et sted for eksperimentering med datastøttede redigeringsverktøy for å gjøre det enklere og mer tilgjengelig å redigere for flere bidragsytere verden over.

Bildeforslag[rediger kilde]

The Image Suggestion UI aims at developing a feature to help experienced users to illustrate currently unillustrated articles. In particular, we will target users who have at least 500 edits on this Wikipedia and have edited or watched a particular article or set of articles, since they are likely to be experts in the topic and to have interest in seeing that article(s) improve.

This tool will leverage the data coming from Wikidata and Structured Data on Commons to find potential media to add on unillustrated Wikipedia articles. More specifically, the tool will look at the relative Wikidata item, and will check if it has an image (through Wikidata property P18) or an associated Commons category (through Wikidata property P373). If in both cases no potential images are found, it will look at other Wikipedia articles in other languages to see if there is a lead image to be found. Finally, the tool will search MediaSearch on Commons for the title of the article, and if an image ranks high enough in the results, the tool will choose that image.

The project is currently experimenting with an approach based on notifications. The goal is to embed the suggestions in the user’s existing Wikipedia activities through weekly notifications, thus increasing the likelihood they will review such suggestions and add selected images as part of their current editing workflow. Contributors can choose to edit via Wikitext or Visual Editor, and can review the image and the article information in the notification.

Er det noe overlapp mellom bildeforslagsverktøyet og «Legg til et bilde»-verktøyet fra Growth-teamet?[rediger kilde]

Technically yes. The two tools share the same algorithm, but they also serve different purposes:

  • the “Add an image” tool is intended for newcomers and less experienced users, who have little to no experience with adding images;
  • the Image suggestion tool is intended for more established users, who already have experience with adding images and other media to articles (i.e. users with more than 500 edits).

Hvordan funker varslene?[rediger kilde]

The tool will select up to two unillustrated articles per week from the list of articles in a user’s watchlist. Each particular article-image match will be shown only once to the user. The selection will prioritize articles edited at least once in the last 30 days. If a user has already received a notification for a particular article, the tool will proceed to the next one in the list. The notification process will be generated weekly, until image matches or applicable users are exhausted.

Hva slags bilder vil bli foreslått?[rediger kilde]

Only images from Wikimedia Commons will be suggested for the article-image matches. There is no plan to extend notifications also to locally uploaded images.

Hvordan slår jeg av varslene?[rediger kilde]

If you don't want to receive notifications (any more), go to Special:GlobalPreferences, then click the tab "Notifications", and remove the ticks related to Image suggestions.

Tilbakemeldinger[rediger kilde]

Tilbakemeldinger er alltid kjærkomne. Vi ser spesielt fram til å få tilbakemelding på hvor godt verktøyet virker for deg. Du kan gi tilbakemelding: