Structured Data Across Wikimedia/fr

Données structurées au sein de Wikimedia (Structured Data Across Wikimedia – SDAW) est un projet qui nous aidera à structurer le contenu sur les pages de wikitexte de façon à les rendre reconnaissables automatiquement par des machines (machine-recognizable) ainsi que reliables entre elles automatiquement par des machines (machine-relatable), afin de rendre plus facile et plus accessible la lecture, l’édition et la recherche au sein des projets et sur l’Internet.

Cela aidera les utilisateurs à associer les contenus entre les projets Wikimedia, aidera les lecteurs à entrer plus profondément dans l’écosystème de connaissances Wikimedia et aidera les contributeurs à mieux propager l’information au sein des projets et au-delà, de façon similaire à Wikidata. Le projet fournira également un lieu pour expérimenter des outils d’édition assisté par ordinateur pour rendre plus facile et plus accessible l’édition pour davantage de contributeurs de part le monde.

Contexte
Ce projet vient à la suite du développement similaire terminé sur Commons, en tant que partie de la précédente subvention Données structurées sur Commons (SDC), et sera partiellement financé par une subvention de trois ans de la Fondation Sloan. Le travail sur SDC nous a rendu plus attentifs au besoin de métadonnées plus avancées pour tous les contenus et d’APIs pour fournir de meilleurs résultats de recherche, ce qui permet en retour de rendre le contenu plus accessible, plus facilement trouvable, traduisible et utilisable pour d’autres besoins.

Le projet a trois principaux objectifs :
 * 1) Permettre à des machines de reconnaître le contenu Wikimedia et suggérer des liens vers d’autres contenus Wikimedia. Nous explorons ce premier point via le projet de suggestion d’images.
 * 2) Designer un moyen de structurer les articles et les pages pour permettre de nouveaux formats de contenu – tel que du contenu proposé en plus petites parties facilement séparables qui soient plus accessibles pour les lecteurs, afin de les utiliser et de les partager.
 * 3) Donner aux utilisateurs Wikimedia un moyen plus attrayant et plus efficace de rechercher et trouver du contenu, s’appuyant sur la recherche de médias (MediaSearch) et explorant de nouvelles façons d’améliorer la recherche au sein des Wikipédias en utilisant des données structurées.

What is changing
The goal of the project is to design and prototype a new system that aims to be flexible enough to serve all the kinds of metadata we might need to support in the near future.

We identified three main projects that we will develop, as part of our work:
 * 1) Image suggestion, a feature for experienced users to help illustrate Wikipedia articles;
 * 2) Sectional metadata, also known as Section topics, in order to describe what a section of a Wikipedia article is about;
 * 3) Search improvements, that will use structured content to give users a more inviting and efficient way to search and find content on the Wikipedias.

Image suggestion
The Image Suggestion UI aims at developing systems for structured data across all Wikimedia projects.

This work will build on the work already begun as part of the “Add an image” structured task project. However, its focus will be shifted towards improving the processes for experienced contributors. In particular, we will target users who 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.

Section topics
The Section Topics project will identify sections in an article and create topics accordingly for those sections, drawing on several elements, such as:
 * an algorithm that detects Wikidata items based on the section’s blue links (which will be developed in partnership with the Structured Data, Research, and Data Platform teams);
 * the ability to automatically identify sections in an article (which will be developed in partnership with the Structured Data and Data Platform teams).

One of the first use cases we envisioned for section topics will be section-level image suggestions, which will use the blue-links algorithm and section identification infrastructure above, and be delivered both via the newcomer experience and via notifications for experienced contributors. This will build upon the work done on image suggestions and will be developed in partnership with the Structured Data, Data Platform, Research, Search, Android, and Growth teams.

These elements will not change, nor impact the current editing experience for users. All these activities will be automatic and will not depend on any action from editors. Currently, this project is in its development phase, and there are still aspects that may require further investigation and/or feedback from users.

Search improvements
The Search Improvements project will use structured content to give users a more inviting and more efficient way to search and find content on the Wikipedias. By improving Special:Search, we want to enable users to find the information they are looking for, or that they may not have noticed, or previously come across through existing search.

We aim to identify and define incremental “special search” improvements that use structured content, to assist users in finding the content they are looking for, especially in those language wikis that have fewer articles.

What do we not want to do?

 * 1) Leave users out of the process
 * 2) Overwhelm users with too much new content to moderate
 * 3) Add any additional bias to Wikimedia projects
 * 4) Add additional vectors for vandalism
 * 5) Introduce too much complexity into our systems

2022

 * First round of Image Suggestions testing on Portuguese, Russian and Indonesian Wikipedia successfully concluded.
 * Project pages updated to reflect the new current status of the initiative.

2022

 * The second year report for Structured Data Across Wikimedia has been published.
 * DPLA was awarded SDAW grant funding to drive the reuse of described and attributed images. You can read more about it at DPLA's 2022 SDAW project announcement.
 * A general consultation about Search improvements is launched.

2022

 * Project pages updated to reflect the new current status of the initiative and the three main projects to be developed.
 * Indonesian Wikipedia joins in as the third tester community.

2022

 * Establishing contact with Portuguese and Russian Wikipedia community as first tester communities for Image Suggestions.

2021

 * Project is moving to a first test stage, that is experimenting with the use of notifications to alert users of potential useful images for Wikipedia articles.

May-August 2021

 * Looking for feedback about the Image Suggestions project, through individual invitations and a month-long RfC specifically targeted to 4 Wikipedias + Commons

2021

 * Looking for feedback about these ideas.
 * Working on rough wireframes and mockups to help explore these ideas.
 * Exploring infrastructure to support this work via the Technical Decision Making Forum process. See.

Second half of 2020

 * Building MediaSearch on Commons.
 * MediaSearch A/B test - conducted between 10 and 17 September 2020.

Feedback
Project feedback is and will always be welcome. We are especially interested in your ideas about the extent to which you want to keep the “human-in-the-loop” throughout the topical metadata creation process. We are looking forward to hearing from you about the following open questions:
 * 1)  Your expectations about the project
 * 2) What do users expect from this project? What are the necessary actions to be addressed?
 * 3) How do you envision this metadata being used? Can you think of ways it would aid in your workflows?
 * 4)  Metadata moderation
 * 5) Is moderation necessary to avoid vandalism and/or bias?
 * 6) If moderation is necessary, how can it be effectively managed?
 * 7)  Adding and confirming metadata
 * 8) Do users want to be able to approve or reject metadata suggested by the automated system?
 * 9) Do users want to be able to add additional metadata beyond what is suggested by the automated system?
 * 10) Do you think it may just be sufficient for users to have the opportunity to send feedback with suggestions on how to improve the machine generated metadata, when necessary?
 * 11)  Privileges for visualising and editing
 * 12) Do we want metadata to be visible for all users or only for certain classes of users?
 * 13) Do we want metadata to be editable for all users or only for certain classes of users?

Also, more specific feedback about related projects can generally be left on the projects' talk pages:
 * MediaSearch on Commons
 * Image Suggestions

Funding
Partial funding for this work is provided by a from the Alfred P. Sloan Foundation, to further the work done by the first round of funding to develop Structured Data on Commons.