New Project: Wikidata (Wikimedia Germany), DataStax, and Jina AI Launch Semantic Search For Non-Profit AI Developers

From Tech EU:

Today Wikimedia Deutschland announced the launch of a semantic search concept in collaboration with search experts from DataStax and Berlin’s Jina AI.

The concept makes Wikidata’s openly licensed data available in an easier-to-use format for AI application developers. This simplifies the process of developing open-source, non-profit AI applications and contributes to a more reliable information ecosystem.

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Wikidata wants to contribute to opening this closed system up by transforming Wikidata’s crowd-sourced, validated entries into an easy-to-access data source for open-source AI application development.

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As an open knowledge graph with over 112 million machine- and human-readable entries, Wikidata represents a centralized source of high-quality open data. All Wikimedia projects, Wikipedia included, access this data to automatically update information such as population figures or dates of birth. Supported by over 12,000 volunteer contributors, Wikidata offers a comprehensive, validated database. Although the data is accessible to developers of open source projects, they often lack the resources to use it for AI training, an option usually only available to large technology companies.

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In December of 2003, Wikimedia Deutschland began implementing this semantic search plan. The initial beta tests of a prototype are planned for 2025. This project is a huge opportunity to improve the information ecosystem with AI and at the same time to protect the fundamental values of openness and transparency.

This enterprise is an important step in Wikimedia Deutschland’s mission of making Free Knowledge accessible to all. With the help of machine learning and semantic search, access to Wikidata’s valuable data will be further simplified, potentially furthering not only the developer community but society as a whole.

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