Structured Data Across Wikimedia/ja

ウィキメディアの一貫した構造化データ (SDAW＝Structured Data Across Wikimedia) というプロジェクトは、ウィキ文で記したページのコンテンツを構造化する役に立ち、機械認識の対象として関連付けをもたらして（機械可読）、同時に閲読、編集、検索の利便性を高め、インターネット環境において、またウィキメディアのプロジェクト相互で便利にしようとするものです.

利用者にとってはウィキメディアのプロジェクト間でコンテンツのつながりを把握する手段であり、閲読者はウィキメディアの知識の生態系に踏みこむ深さが増え、寄稿者にはまるでウィキデータ式の汎用性を得たように情報を複数のプロジェクトに広めることができます. 当プロジェクトはまた試行の場であり、コンピュータ援用の編集ツールを使って世界のどこにいる編集者の誰もが、より簡便に、また支障なく編集活動ができることを目指します.

背景
This project is a follow-up to similar development that was completed on Commons, as part of the previous Structured Data on Commons (SDC) grant, and will be partially funded by a three year grant from the Sloan Foundation. Work on SDC made us aware of the need for more advanced metadata for all content and APIs to provide better search results, which would make in turn content more accessible, discoverable, translatable and usable for other needs.

The project has three high level goals:
 * 1) To allow machines to recognize Wikimedia content and to suggest relationships to other Wikimedia content. We are exploring this first via the image suggestion project.
 * 2) To design a way to structure articles and pages to enable new content formats – such as content served in smaller, easily digestible pieces that is more accessible for readers to use and share.
 * 3) To give Wikimedia users a more inviting, more efficient way to search and find content, building on MediaSearch, and exploring new ways to improve search across Wikipedias using Structured Data.

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:
 * an algorithm that detects Wikidata items based on the section’s blue links (which will be developed in partnership with the Structured Data, Research, Machine Learning, 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);
 * 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 last point will build upon the prior image suggestions work and will be developed in partnership with the Structured Data, Machine Learning, Data Platform, Research, Search, 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 users who edit an article. Currently, this project is still in the investigating phase, and there are still aspects that may require further investigation and/or feedback from users.

Based on the viability of those options, the project also aims at:
 * using section topics to improve our SEO reach with outside search engines (in partnership with the Web team)
 * establishing partnerships with the larger Wikimedia community to show the impact of our new tools (in partnership with the Structured Data, Growth, and Community Programs (GLAM/Campaigns) teams).

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

 * ウィキメディアの一貫した構造化について、2年次の報告書を発行しました.
 * DPLA には SDAW 助成金がつき、画像のうち説明文がついて継承を明示したものの再利用を促進します. 詳細は DPLA のページ2022年SDAW プロジェクト告知をご参照ください. （2022 SDAW project announcement）
 * 検索の改善に関して、広く聞き取り調査を始めました（Search improvements）.

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.

2021年5月 - 8月

 * 画像提案プロジェクトに関してフィードバック募集中（Image Suggestions）、個別の聞き取りとコメント募集月間 month-long RfC 実施のウィキペディア + コモンズ 4 件

2021

 * これらの発想にフィードバックを募集.
 * この発想を伸ばすため、ワイヤフレーム素案と試作版作りに取り組む.
 * この作業に適したインフラを技術意思決定フォーラム（Technical Decision Making Forum）の場で検討. をご参照ください.

2020年後半

 * MediaSearchをコモンズに組み込むには.
 * MediaSearch A/B 試験 - 2020年9月10日より同17日に実施

フィードバック
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) プロジェクトに期待されることとは
 * 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) メタデータの調整
 * 5) Is moderation necessary to avoid vandalism and/or bias?
 * 6) If moderation is necessary, how can it be effectively managed?
 * 7) メタデータの追加と検証
 * 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) 視覚化が編集にもたらす恩恵
 * 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:
 * コモンズと検索機能 MediaSearch
 * 画像の提案

資金計画
この作業には資金の一部を アルフレッド・P・スローン財団よりとして受けており、助成対象事業「コモンズの構造化データ」の第1段階の満了後にさらに作業を充実させました.