⏰ Reminder: HMC FAIR Friday Seminar

How can FAIR infrastructures actually help researchers instead of increasing complexity?

Join Sebastian Hellmann and Jan Forberg for a pragmatic discussion on FAIR data practices and open-source infrastructure.

πŸ“… 27 March 2026 | Online
πŸ”— Register here: https://events.hifis.net/event/3754

#FAIR #ResearchData #OpenScience #Databus #MOSS #DBpedia

@dbpedia @helmholtz

πŸ“’ HMC FAIR Friday Seminar

More than a decade after the FAIR Principles were introduced, a key question remains:

πŸ‘‰ What value has FAIR actually delivered to researchers?

In this talk, Sebastian Hellmann and Jan Forberg explore the microeconomics of FAIR adoption and present open-source tools #Databus and #MOSS from the #DBpedia Association ecosystem.

πŸ“… 27 March 2026 | Online
πŸ”— Register here: https://helmholtz-metadaten.de/events/fair-reality-check

#HMC_FAIRfriday #KnowledgeGraphs #LinkedData

@dbpedia
@helmholtz

The current activities on the #DBpedia issue board (https://github.com/dbpedia/extraction-framework/issues) are curious: While there is no reaction by the maintainers on (mine and other) issues, there are a lot responses by enthusiastic users volunteering to work on the issues. Even if each of these comments looks valid on its own, the accumulation and similarity of them makes me doubt these users are all actual humans.
dbpedia/extraction-framework

The software used to extract structured data from Wikipedia - dbpedia/extraction-framework

GitHub
Added a hotfix to the #ABECTO space data comparison project: https://github.com/fusion-jena/abecto-space-travel-comparison/commit/4ec43c8e317e5f0535e82d85e217795894ed7751
Ironically, the hotfix is to use #Wikidata classes to locally query the fetched #DBpedia data. At the next regular refresh, on 2026-01-10, mismatches based on properly aligned data will be available in https://mismatch-finder.toolforge.org/. Unfortunately, I can not invalidate the current mismatches before.
@nightrose @wikidata

Surprisingly, I could not find an Issue about this #DBpedia problem. Now there is one: https://github.com/dbpedia/extraction-framework/issues/820

Contrary to my initial guess of an extractor bug, further investigations made an SPARQL endpoint (#openlinksw #virtuoso) bug seem more likely.

Missing `rdf:type`s in HTML view and in some SPARQL answerse Β· Issue #820 Β· dbpedia/extraction-framework

Issue validity Could not check, due to DIEF ERROR 502 response. Error Description Many resources are missing some rdf:type statements. Pinpointing the source of the error It affects the SPARQL (htt...

GitHub

Remarkably:
➑️ Despite the lack of #DBpedia types, equivalent #Wikidata types are present in DBpedia.
➑️ Not all resources are affected: e.g. https://dbpedia.org/page/John_Young_(astronaut) is typed as http://dbpedia.org/ontology/Astronaut.
➑️ Right and wrong typed astronauts have the astronaut infobox (which is properly mapped https://mappings.dbpedia.org/index.php/Mapping_en:Infobox_astronaut) on #Wikipedia.

I guess an extractor bug πŸͺ².

Side effect: Many astronauts are displayed as "animals". Although on might consider this as ontologically correct, it is quiet odd.

@dbpedia

With ABECTO 3.1.5, I restored regular pushes of space travel data deviations between #Wikidata and #DBpedia to https://mismatch-finder.toolforge.org @nightrose. But it provides (at first glance) strange results (πŸ”— https://mismatch-finder.toolforge.org/results?ids=Q107667|Q115651852), like:
➑️ John Young member of the crew of Apollo 16 mismatches http://dbpedia.org/resource/Apollo_16
➑️ SpaceX Crew-10 crew member Anne McClain mismatches http://dbpedia.org/resource/Anne_McClain

Reason: Missing http://dbpedia.org/ontology/SpaceMission, http://dbpedia.org/ontology/Astronaut, … type statements in @dbpedia.

Mismatch Finder

An unconventional approach to avoid providing an email address in the User-Agent was chosen in #DBpedia by reusing the user agent of #curl: https://github.com/dbpedia/extraction-framework/commit/de3ca70694f347db84a2daeb88d8218506075f81
I proposed an alternative: https://github.com/dbpedia/extraction-framework/issues/819

@dbpedia @wikidata

A huge thank you to Denny VrandečiΔ‡
for kicking off #ISWC2025 with a great keynote: β€œWikipedia and the Semantic Web”.

He highlighted how #SemanticWeb ideas shaped #SemanticMediaWiki, #DBpedia, and #Wikidata - now the world’s most-edited wiki!

@anligentile @maribelacosta @K_e_n_F @GenAsefa

@awinkler @DNB_Aktuelles Bei "Examples" das aktuell letzte Beispiel: "Welche Titel von anderen Autoren gehΓΆren zur gleichen literarischen Gattung wie Friedrich Schiller?" https://sparql.dnb.de/dnbgnd/tRteun zeigt die Federated Query mit dbpedia
#dbpedia
DNB SPARQL Service - BETA