NFDI4DS<p>🚀 New Release: GESIS Knowledge Graph (GESIS KG) 🌐</p><p>We are excited to introduce version 1.0.0 of the GESIS KG, which integrates metadata of scientific resources available in GESIS Search. </p><p>The knowledge graph facilitates understanding relationships between data, publications, and social concepts, enhancing the traceability and reproducibility of research.</p><p>🔗 Learn more: <a href="https://data.gesis.org/gesiskg/site/" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">data.gesis.org/gesiskg/site/</span><span class="invisible"></span></a></p><p><a href="https://nfdi.social/tags/KnowledgeGraph" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KnowledgeGraph</span></a> <br><a href="https://nfdi.social/tags/KG" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KG</span></a><br><a href="https://nfdi.social/tags/Search" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Search</span></a> <br><a href="https://nfdi.social/tags/SemanticWeb" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SemanticWeb</span></a> <br><a href="https://nfdi.social/tags/SocialSciences" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SocialSciences</span></a> <br><a href="https://nfdi.social/tags/NFDI4DS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NFDI4DS</span></a><br><a href="https://nfdi.social/tags/GESIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GESIS</span></a><br><span class="h-card"><a href="https://sciences.social/@GESIS" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>GESIS</span></a></span></p>
#knowledgegraph
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Sumble – knowledge graph for GTM data – query tech stack, key projects
sumble.comSumbleSumble provides account intelligence data, enabling sales teams to do deep research. Use it to better inform your targeting and outreach.
...the encyclopedia itself is larger than it appears: there are active Wikipedias in 342 different languages. More than 65 million articles and over 273 million pages, and they are all #linked to each other within each language as well as between languages. The result is a vast linked #knowledgeGraph, and it's #free, #OpenSource, and #multilingual.
@theregister @wikimediafoundation
https://www.theregister.com/2025/07/04/wikidata_foss_democracy/
The Register · Wikidata: Attempting to bridge FOSS ideals and direct democracy
Today in the ISE 2025 lecture on OWL, the Web Ontology Language. Tired of using slide presentations (at temperatures like today and giving the same presentation all over again), I spontaneously decided to design arbitrary OWL ontologies together with the students on the good old blackboard ;-)
#wayback #lecture #semanticweb #semweb #ontologies #OWL #knowledgegraph @fizise @enorouzi @sourisnumerique @tabea @KIT_Karlsruhe
Merci à tous pour vos présentations !
Nous avons reçu cette année 17 propositions pour SemWeb.pro 2025 !
Retrouvons-nous le 15 juillet pour découvrir le programme de cette édition.
: 27 novembre 2025
@Fiap Paris
#semweb #websem #opendata #linkeddata #linkedopendata
#knowledgegraph #thesaurus #ontology #RDF #SPARQL #SHACL #OWL #JSONLD
In this blog post at https://s.gwdg.de/m5Bu3L I showcase the #NFDI4BIOIMAGE (@nfdi4bioimage@nfdi.social, @nfdi4bioimage@bird.makeup) #knowledgegraph and its function as a registry for public #OMERO image data repositories and their respective #SPARQL endpoints. Annotated #bioimage data has become part of the #semanticweb. @joshmoore @Andrawaag #nfdi #metadata #KnowledgeGraphs #ontop #r2rml #rdf
SciComp BlogLinked Open Data for BioimagingThis post demonstrates the NFDI4BIOIMAGE Knowledge Graph (N4BIKG). Many aspects of this project are still very much in the flow including a consensus on which ontologies and terms to employ, how to define various namespaces and much more. These issues left aside, I focus on two components: First, the "core" KG contains information about the NFDI4BIOIMAGE consortium, it's participating institutions and people working in or for NFDI4BIOIMAGE, publications (via zenodo records submitted to the NFDI4BIOIMAGE community) and some more.
Replied to Harald Sack
#SPARQL query selecting all statements:
```
SELECT *
FROM <http://rdf.greggkellogg.net/distiller?url=https:%2F%2Fcsarven.ca%2Flinked-research-decentralised-web&command=serialize&raw>
WHERE {
?s ?p ?o.
}
```
778 specific citations based on Citation Type Ontology. This is not just "document cites document" but specific thing within cites another specific thing elsewhere on the web).
```
SELECT *
FROM <http://rdf.greggkellogg.net/distiller?url=https:%2F%2Fcsarven.ca%2Flinked-research-decentralised-web&command=serialize&raw>
WHERE {
?s ?p ?o.
FILTER STRSTARTS(STR(?p), "http://purl.org/spar/cito/")
}
```
Replied to Harald Sack
@lysander07 What I like about this view is that info is not necessarily complete. Typical real-world data. So, some queries will not show everything there is to know about a topic while a lot of info may be for other things. Though it can be extended - "pay as you go".
Some students may also be interested in expressing their research output as a #KnowledgeGraph on its own right - playing an important role in #ScholarlyCommunication
eg view: https://dokie.li/?graph=https://csarven.ca/linked-research-decentralised-web
seeAlso alt text.
Rich modelling capabilities and super fast time series:
The Ontop virtual knowledge graph engine got support for TDEngine time series database with this pull request: https://github.com/ontop/ontop/pull/875
This will be one of the many exciting new features of the next stable release of Ontop.
VUB 
is hunting for a #postdoc / #Research Engineer who vibes with #nlp + ontologies.
We juggle:
Python & transformers
#ontology craft
#knowledgegraph wizardry
Partial remote? Totally cool.
DM me if you’re curious — and feel free to boost! 
#NLP #semanticweb
In the next tutorial, Lise Stork from University of Amsterdam and Stefano di Grigoris from VU Amsterdam are introducing us into Ontology and Knowledge Modeling.
#Geospatial Index Improvements for Apache Jena #GeoSPARQL will be available in the next version: https://github.com/apache/jena/issues/3026
GitHubSpatial Index improvements (index-per-graph + kryo) · Issue #3026 · apache/jena