Alexander WinklerJust learned from @vrandecic 's presentation (https://videolectures.net/videos/iswc2025_nara_vrandecic_wikipedia_future) that there is a #wikidata #qlever interface mimicking the #WDQS gui. So here you've got native support for visualisations etc. -> https://wikidata-query-gui.scholia.wiki/
The interface has the drop-down-autocompletion function but no implicit PREFIXes, so you must add these on your own. Not a perfect replacement for WDQS but close.
Wikipedia and the Semantic Web: Celebrating 20 Years of Co-Development and the Future
In 2005, the very first papers proposed integrating Semantic Web technologies in the nascent Wikipedia ecosystem. This wasn’t just a convergence; it ignited two decades of mutual inspiration and benefit. From this crucible, the work in semantic wikis drew inspiration. Semantic MediaWiki, particularly, which found global adoption at Google, Microsoft, NASA, and beyond. Wikipedia became the bedrock for pioneering knowledge graphs, including DBpedia, Freebase, and Yago. These pivotal experiences directly fueled the development of Knowledge Graph, a term that has since found ubiquitous adoption, and, critically, Wikidata, a project that has become an indispensable, living component of Wikipedia itself. With over half a million global contributors, Wikidata stands as the world’s most-edited wiki, powering one of, if not the, most widely-used public SPARQL endpoint. Its software, Wikibase, has spawned a federation of knowledge graphs, serving diverse domains from museums to language preservation. Furthermore, Wikidata’s evolution into lexicographic data (inspired by ontologies such as OntoLex and Lemon) laid the groundwork for projects such as Wikifunctions and Abstract Wikipedia, a vision first unveiled right here at ISWC 2018 and now an official Wikimedia Foundation project. This takes us to the present and future: Abstract Wikipedia collaboratively confronts the inherent expressivity gap in knowledge graphs, while foundational role in training and the current use of language models can not be overstated. This creates a tantalising confluence of large language models and knowledge graphs, hinting at profound opportunities - and critical challenges -for Wikipedia, the Web, and beyond. As this rich history promises many more years of co-development and mutual inspiration, we will conclude with a forward-looking sketch of open research questions and exciting upcoming opportunities.
Eugene Alvin Villar 🇵🇭
#Digital ⚓️ #Vagabond 🦈
Jan Martin Keil
Lucas Werkmeister
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