#dbpedia — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #dbpedia, aggregated by home.social.
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J'ai trouvé deux sites d'archives départementales qui réutilisent Wikimédia pour enrichir les pages sur les communes. #wikimedia #wikidata #dbpedia #Archives #Archivistodons
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J'ai trouvé deux sites d'archives départementales qui réutilisent Wikimédia pour enrichir les pages sur les communes. #wikimedia #wikidata #dbpedia #Archives #Archivistodons
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⏰ 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.
📅 27 March 2026 | Online
🔗 Register here: https://events.hifis.net/event/3754#FAIR #ResearchData #OpenScience #Databus #MOSS #DBpedia
@dbpedia @helmholtz
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⏰ 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.
📅 27 March 2026 | Online
🔗 Register here: https://events.hifis.net/event/3754#FAIR #ResearchData #OpenScience #Databus #MOSS #DBpedia
@dbpedia @helmholtz
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📢 HMC FAIR Friday Seminar
More than a decade after the FAIR Principles were introduced, a key question remains:
👉 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.
📅 27 March 2026 | Online
🔗 Register here: https://helmholtz-metadaten.de/events/fair-reality-check -
📢 HMC FAIR Friday Seminar
More than a decade after the FAIR Principles were introduced, a key question remains:
👉 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.
📅 27 March 2026 | Online
🔗 Register here: https://helmholtz-metadaten.de/events/fair-reality-check -
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.
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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.
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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 -
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.
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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.
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Remarkably:
➡️ Despite the lack of #DBpedia types, equivalent #Wikidata types are present in DBpedia.
➡️ Not all resources are affected: e.g. https://dbpedia.org/page/John_Young_(astronaut) is typed as http://dbpedia.org/ontology/Astronaut.
➡️ 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 🪲.
Side effect: Many astronauts are displayed as "animals". Although on might consider this as ontologically correct, it is quiet odd.
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Remarkably:
➡️ Despite the lack of #DBpedia types, equivalent #Wikidata types are present in DBpedia.
➡️ Not all resources are affected: e.g. https://dbpedia.org/page/John_Young_(astronaut) is typed as http://dbpedia.org/ontology/Astronaut.
➡️ 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 🪲.
Side effect: Many astronauts are displayed as "animals". Although on might consider this as ontologically correct, it is quiet odd.
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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 (🔗 https://mismatch-finder.toolforge.org/results?ids=Q107667|Q115651852), like:
➡️ John Young member of the crew of Apollo 16 mismatches http://dbpedia.org/resource/Apollo_16
➡️ SpaceX Crew-10 crew member Anne McClain mismatches http://dbpedia.org/resource/Anne_McClainReason: Missing http://dbpedia.org/ontology/SpaceMission, http://dbpedia.org/ontology/Astronaut, … type statements in @dbpedia.
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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 (🔗 https://mismatch-finder.toolforge.org/results?ids=Q107667|Q115651852), like:
➡️ John Young member of the crew of Apollo 16 mismatches http://dbpedia.org/resource/Apollo_16
➡️ SpaceX Crew-10 crew member Anne McClain mismatches http://dbpedia.org/resource/Anne_McClainReason: Missing http://dbpedia.org/ontology/SpaceMission, http://dbpedia.org/ontology/Astronaut, … type statements in @dbpedia.
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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 -
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 -
@awinkler @DNB_Aktuelles Bei "Examples" das aktuell letzte Beispiel: "Welche Titel von anderen Autoren gehören zur gleichen literarischen Gattung wie Friedrich Schiller?" https://sparql.dnb.de/dnbgnd/tRteun zeigt die Federated Query mit dbpedia
#dbpedia -
@awinkler @DNB_Aktuelles Bei "Examples" das aktuell letzte Beispiel: "Welche Titel von anderen Autoren gehören zur gleichen literarischen Gattung wie Friedrich Schiller?" https://sparql.dnb.de/dnbgnd/tRteun zeigt die Federated Query mit dbpedia
#dbpedia -
Slides for first #DBpedia talk by Sebastian Hellmann at #SemanticsConf sit at https://docs.google.com/presentation/d/1EDl3Yc3nicA_a9HYYqC1BEC7OTb8cXDmga0xRwwvI7c/edit?usp=drivesdk .
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Slides for first #DBpedia talk by Sebastian Hellmann at #SemanticsConf sit at https://docs.google.com/presentation/d/1EDl3Yc3nicA_a9HYYqC1BEC7OTb8cXDmga0xRwwvI7c/edit?usp=drivesdk .
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@naturzukunft
Actually, this is WIkipedia and only structured data, i.e. no RDF.
However, use this SPARQL query on DBpedia to get vitamins and minerals of a cucumber ;-)#sparql #rdf #dbpedia #wikidata #cucumber #dbpedia @dbpedia #semanticweb #knowledgegraphs
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@naturzukunft
Actually, this is WIkipedia and only structured data, i.e. no RDF.
However, use this SPARQL query on DBpedia to get vitamins and minerals of a cucumber ;-)#sparql #rdf #dbpedia #wikidata #cucumber #dbpedia @dbpedia #semanticweb #knowledgegraphs
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https://www.dbpedia-spotlight.org/ a tool for automatically annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. #wikipedia #semanticweb #dbpedia
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https://www.dbpedia-spotlight.org/ a tool for automatically annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. #wikipedia #semanticweb #dbpedia
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#Google Gemini 2.0 now passes my “deceptively simple” test: generating #SPARQL queries against the #DBpedia #KnowledgeGraph.
This marks the first time Gemini LLMs have succeeded in my testing. Ironically, it’s less about core #LLM capability and more about overcoming strange safeguards and link aversion.
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#Google Gemini 2.0 now passes my “deceptively simple” test: generating #SPARQL queries against the #DBpedia #KnowledgeGraph.
This marks the first time Gemini LLMs have succeeded in my testing. Ironically, it’s less about core #LLM capability and more about overcoming strange safeguards and link aversion.
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Boom!
The OpenLink Software #AI Layer (#OPAL) now supports AnthropicAI's #Claude language models.
See comments for a #DataTwingler AI Agent demo executing #SPARQL and #SQL queries via a live #VirtuosoRDBMS instance.
Remember, query scope is SPARQL, #ODBC, or #JDBC accessible data sources.
#GenAI #UseCase #DBpedia #KnowledgeGraph #LinkedData #LODCloud
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Boom!
The OpenLink Software #AI Layer (#OPAL) now supports AnthropicAI's #Claude language models.
See comments for a #DataTwingler AI Agent demo executing #SPARQL and #SQL queries via a live #VirtuosoRDBMS instance.
Remember, query scope is SPARQL, #ODBC, or #JDBC accessible data sources.
#GenAI #UseCase #DBpedia #KnowledgeGraph #LinkedData #LODCloud
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Boom!
The OpenLink Software #AI Layer (#OPAL) now supports AnthropicAI's #Claude language models.
See comments for a #DataTwingler AI Agent demo executing #SPARQL and #SQL queries via a live #VirtuosoRDBMS instance.
Remember, query scope is SPARQL, #ODBC, or #JDBC accessible data sources.
#GenAI #UseCase #DBpedia #KnowledgeGraph #LinkedData #LODCloud
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Boom!
The OpenLink Software #AI Layer (#OPAL) now supports AnthropicAI's #Claude language models.
See comments for a #DataTwingler AI Agent demo executing #SPARQL and #SQL queries via a live #VirtuosoRDBMS instance.
Remember, query scope is SPARQL, #ODBC, or #JDBC accessible data sources.
#GenAI #UseCase #DBpedia #KnowledgeGraph #LinkedData #LODCloud
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Boom!
The OpenLink Software #AI Layer (#OPAL) now supports AnthropicAI's #Claude language models.
See comments for a #DataTwingler AI Agent demo executing #SPARQL and #SQL queries via a live #VirtuosoRDBMS instance.
Remember, query scope is SPARQL, #ODBC, or #JDBC accessible data sources.
#GenAI #UseCase #DBpedia #KnowledgeGraph #LinkedData #LODCloud
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Here's the #screencast demo of Grok generating a #SPARQL query results page for a #DBpedia #KnowledgeGraph query.
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Here's the #screencast demo of Grok generating a #SPARQL query results page for a #DBpedia #KnowledgeGraph query.
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#Grok (v2) just passed my #SPARQL query generation test on the #DBpedia #KnowledgeGraph! It can now generate a link resolving to all movies directed by Spike Lee from my test prompt. x.com/i/grok/share... Links are shareable too—this is HUGE for #GenAI & #SocialMedia posts! #AI #LinkeData
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@Grok (v2) just passed my #SPARQL query generation test on the #DBpedia #KnowledgeGraph! It can now generate a link resolving to all movies directed by Spike Lee from my test prompt.
https://x.com/i/grok/share/mnGYuedRFavNWaQk4XxjUPVm1
Links are shareable too—this is HUGE for #GenAI & #SocialMedia posts!
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@Grok (v2) just passed my #SPARQL query generation test on the #DBpedia #KnowledgeGraph! It can now generate a link resolving to all movies directed by Spike Lee from my test prompt.
https://x.com/i/grok/share/mnGYuedRFavNWaQk4XxjUPVm1
Links are shareable too—this is HUGE for #GenAI & #SocialMedia posts!
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The release of #ABECTO v3.1.1 also allowed me to reactivate the regular mismatch uploading to the #Wikidata Mismatch Finder by an example project that compares space travel 🚀 data in Wikidata and #DBpedia (https://github.com/fusion-jena/abecto-space-travel-comparison). Reported mismatches wait on https://mismatch-finder.toolforge.org/ to be fixed in Wikidata or #Wikipedia 🔍.
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The release of #ABECTO v3.1.1 also allowed me to reactivate the regular mismatch uploading to the #Wikidata Mismatch Finder by an example project that compares space travel 🚀 data in Wikidata and #DBpedia (https://github.com/fusion-jena/abecto-space-travel-comparison). Reported mismatches wait on https://mismatch-finder.toolforge.org/ to be fixed in Wikidata or #Wikipedia 🔍.
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@wdscholia @jerven, I just remembered this morning early efforts for making SPARQL queries primary, citable, FAIR research output with MyExperiment.org (2009!): https://www.myexperiment.org/workflows/962.html
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@wdscholia @jerven, I just remembered this morning early efforts for making SPARQL queries primary, citable, FAIR research output with MyExperiment.org (2009!): https://www.myexperiment.org/workflows/962.html
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Как принудительно уронить MS SQL Server чтобы он ушёл на перезагрузку
При чтении логов из базы данных, а именно, из LDF данных, в большинстве случаев вы наткнётесь на такие функции в запросе sys.fn_dblog(null, null), sys.fn_dblog_xtp(null, null) Читать из LDF Вы захотите по различным причинам, но так или иначе основная проблема будет "у нас откуда-то списались деньги остатки, пропал товар, упал прод, разберитесь". Допустим, Вы захотите воскресить удалённый, дропнутый объект из базы. Типичный скрипт Посмотреть код
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SPARQL federated queries were also on our list at last week's #ISE2024 lecture, combining #DBpedia and #wikidata, asking the question "which 'planetary romance' scifi novels are dealing with Mars” ?" ...would you know?
slides: https://drive.google.com/file/d/17gEglymV3_feQrkxGRw7XslxRxpGhD4b/view?usp=drive_link
SPARQL query: https://w.wiki/AY2S
SPARQL result: https://w.wiki/AY2T#SPARQL #semanticweb #knowledgegraphs @wikidata @dbpedia @sourisnumerique @enorouzi @shufan @fizise #scifi #mars #lecture
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SPARQL federated queries were also on our list at last week's #ISE2024 lecture, combining #DBpedia and #wikidata, asking the question "which 'planetary romance' scifi novels are dealing with Mars” ?" ...would you know?
slides: https://drive.google.com/file/d/17gEglymV3_feQrkxGRw7XslxRxpGhD4b/view?usp=drive_link
SPARQL query: https://w.wiki/AY2S
SPARQL result: https://w.wiki/AY2T#SPARQL #semanticweb #knowledgegraphs @wikidata @dbpedia @sourisnumerique @enorouzi @shufan @fizise #scifi #mars #lecture
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In a brief excursion we've introduced the #DBpedia #knowledgegraph to our students in this week's #ISE2024 lecture. This is one of the two playgrounds for our subsequent #SPARQL adventures :)
slides: https://drive.google.com/file/d/17gEglymV3_feQrkxGRw7XslxRxpGhD4b/view?usp=drive_link
#semanticweb @dbpedia @fizise @enorouzi @sourisnumerique @shufan #aiart #lecture @nfdi4culture
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In a brief excursion we've introduced the #DBpedia #knowledgegraph to our students in this week's #ISE2024 lecture. This is one of the two playgrounds for our subsequent #SPARQL adventures :)
slides: https://drive.google.com/file/d/17gEglymV3_feQrkxGRw7XslxRxpGhD4b/view?usp=drive_link
#semanticweb @dbpedia @fizise @enorouzi @sourisnumerique @shufan #aiart #lecture @nfdi4culture
