What does it mean "to know" something? Have you ever thought about it? We tried to make our students think about it in this week's first #ise2025 lecture.
#kit200 #lecture #knowledge #philosophy #knowledgerepresentation #understanding #semweb #knowledgegraph #nlp @fiz_karlsruhe @fizise @enorouzi @sourisnumerique
Dans la continuité d'une série de posts sur les graphes de connaissances de l'univers des #archives 
...
Zoom sur 
le #knowledgeGraph de la Fondation https://sapa.swiss/fr/, les Archives suisses des arts de la scène que Sparna accompagne depuis maintenant plusieurs mois.
https://www.sparna.fr/en/posts/fondation-sapa-un-graphe-de-donnees-liees-au-coeur-des-archives
We are happy to announce that Frank van Harmelen from the Vrije Universiteit Amsterdam will present one of the #isws2025 keynotes! Frank has been involved in the #SemanticWeb research programme since its inception in the late 1990s and is one of the co-authors of the Web Ontology Language OWL.
Apply here: https://2025.semanticwebschool.org/
Deadline: March 15, 2025
#knowledgegraph #AI #llm #generativeAI #responsibleAI @albertmeronyo @lysander07 #summerschool
Can we load #RDF data in #Gephi ? 
An old project #Sparna developed in 2017 to convert RDF graphs into the #GEXF format has been updated on Github !
Read the post :
https://www.sparna.fr/en/posts/rdf2gephi-load-rdf-graphs-in-gephi
See the Git :
https://github.com/sparna-git/rdf2gephi
Watch the vid :
https://www.youtube.com/watch?v=A_YbxNapaBY
For 12 years already, I've been on/off experimenting (and prototyping) to create a compendium & knowledge graph about computational & generative art, the different movements/genres/mediums (e.g. architecture, design, visual art, audio/music, sculpture, kinetic/motion, film/animation, text etc.), influences, definitions/references, people (artists, curators, writers, thinkers), collectives, organizations (foundations, galleries, museums), exhibitions/festivals, tools & tool makers, common techniques used, art platforms — everything tagged and also supporting to browse by time (centuries & decades, currently starting ~1600) and region...
Attached are some screenshots of my first prototypes from 2011/12 (using #CouchDB, then #neo4j for storage & my own tools for force-directed graph layout) and of the current prototype using #Logseq (https://logseq.com)... The latter is working great for now and feeling, I'm getting somewhere this time, also because I have to make it work (for work!). This is all still just a beginning, hundreds of more people, orgs, projects & references to import and re-check from older versions. The current contents are _very_ biased to my own network/trajectory in/through this space...
Ps. Following up with all the folks & materials I've included already, I'm realizing again and again just how I've been the most naïve and _worst_ person to monetize (mostly not even trying!) my art/contributions... For 20 years I've filed 90% of hundreds of my projects under "experiments", "sketches", "demos", "tutorials" (often also to help illustrate techniques of my open source tools), only to realize (not for the first time) almost everyone else of my old peers has been way less selective and been attaching way more importance to all of their outputs... Maybe one day I will learn, before it's too late...
After a year of intense work, I'm pleased to introduce Ontogen - a version control system for RDF datasets. 
It's been a challenging but rewarding journey, and I'm excited to share the results with the #rdf and #knowledgegraph community.
You can find more about Ontogen at https://ontogen.io
The website includes a user guide and the first two articles of an introductory series (more to come in the next few days).
The best place to start reading is http://ontogen.io/introduction/part-1
1/3
Recently, I submitted the first big paper on our #Python 
based approach for #FormalKnowledgeRepresentation.
If accepted, it will be #OpenAccess
The preprint is OA anyway:
https://www.preprints.org/manuscript/202401.0060/v1
The approach allows to model the content of mathematical theorems (such as Pythagoras) as nodes and edges in a #knowledgegraph
This is done via *qualifiers* – a concept borrowed from #Wikidata
![Screenshot of a page of the manuscript.
In the main part it shows a depiction of the (automatically) constructed knowledge graph. With ≈850 nodes and
≈8000 edges.
The caption reads:
Visualization of the whole knowledge graph. While it is impossible to extract meaningful details from this picture it illustrates the high degree of interconnection. Edges of type R3["is subclass of"] are blue, R4["is instance of"] are orange and all other edges types are colored black.](https://f2.tchncs.de/media_attachments/files/111/726/187/941/906/511/original/7cddf6b0d84eb6bb.png "Screenshot of a page of the manuscript.
In the main part it shows a depiction of the (automatically) constructed knowledge graph. With ≈850 nodes and
≈8000 edges.
The caption reads:
Visualization of the whole knowledge graph. While it is impossible to extract meaningful details from this picture it illustrates the high degree of interconnection. Edges of type R3[\"is subclass of\"] are blue, R4[\"is instance of\"] are orange and all other edges types are colored black.")
Petagraph: A large-scale unifying knowledge graph framework for integrating biomolecular and biomedical data https://www.biorxiv.org/content/10.1101/2023.02.11.528088v1 #bioinformatics #knowledgegraph
Hang in there, my fellow #knowledgegraph researchers and practitioners, soon (in a few years) we will reach the "Slope of Enlightenment" ;-)
The new Gartner hype cycle for AI positions knowledge graphs right in the middle of the "Through of Disillusionment" ... while placing #GenerativeAI and #FoundationModels #LLMs at the peak of the hype
https://www.gartner.com/en/articles/what-s-new-in-artificial-intelligence-from-the-2023-gartner-hype-cycle#:~:text=The%202023%20Gartner%20Hype%20Cycle%E2%84%A2%20for%20Artificial%20Intelligence%20(AI,most%20credible%20cases%20for%20investment.
#semanticweb #ai #hypecycle #artificialintelligence
Q: Can I fine-tune #ChatGPT using #SPARQL such that it basically becomes a #SmartAgent capable of querying across the massive #LODCloud #KnowledgeGraph, using natural language?
Yes!
Read: https://community.openlinksw.com/t/howto-chat-gpt-and-dbpedia-sparql-query-generation-from-natural-language-prompts/3823 -- which covers a basic example using #DBpedia (#Wikidata content in machine-computable and queryable form).
Here's a another @openlink service that generates a navigable (or clickable) #KnowledgeGraph from:
[1] Your @Mastodon profile -- http://linkeddata.uriburner.com/about/html/https://mastodon.social/@hrheingold
[2] A specific post -- https://linkeddata.uriburner.com/about/html/https://mastodon.social/@hrheingold/109826858725972575
#introduction
Find Semantic Web+ researchers on Mastodon! 
Subscribe to the list here:
https://semantisch.github.io/SemanticWeb//
Join the growing list here as a researcher:
https://forms.gle/pjNmNG6xwzU28Y3o6
#SemanticWeb #KnowledgeGraph #LinkedData #LinkedOpenData #Ontology #KnowledgeRepresentation #Reasoning #RDF #SPARQL #OWL #SHACL #Wikidata #DBPedia #Solid
Other academics on Mastodon:
https://github.com/nathanlesage/academics-on-mastodon
Would you kindly boost and re-toot! 
@openscience @fizise @academicchatter @academicsunite @semanticweb
What do you seek, interop wise, from a solution that supports #RSS or #OPML?
For instance, our products are able to achieve the following with OPML:
1. Generate a knowledgebase (or #KnowledgeGraph these days) "on the fly" using query languages such as #SQL, #SPARQL, #GraphQL
2. Content Subscription
Regarding RSS, it can do all of the above plus:
1. Publish query solutions in that format
2. Publish folder content
/cc @judell
Hi there, I'm a historian working in #DigitalHistory. My research (https://digitalheraldry.org/) is about creating a #knowledgegraph for coats of arms on historical objects. With this, we study the usage and development of #heraldry as a tool for visual communication.
I'am also doing a PhD on heraldry on painted walls and ceilings and about exploring approaches to utilize knowledge graphs for historical research.
#histodon #DigitalHumanities #introduction #neuHier #semanticweb #medievodon
#introduction
I am an open data access (#ODBC, #JDBC, and #HTTP), integration (#DataVirtualization), and data management (#DBMS and/or #KnowledgeGraph) technologist, enthusiast, and entrepreneur.
I am passionate about open standards for #GenAI, #AI, #Identity #Authenticity, #SocialMedia (#ActivityPub & #ActivityStreams), and data de-silo-fication initiatives (e.g. #SemanticWeb, #LODCloud, #LinkedData, #RWW, and #SmallData).
I don't like any kind of silo!
Grüß dich! #introduction
My name is Katharina and my topics are data, politics, and their intersections.
Currently, I work as a data journalist at Bayerischer Rundfunk. Is the hashtag #ddj still a thing?
Previously, I built a #KnowledgeGraph on queer history. Read more at: https://queerdata.forummuenchen.org/en/ #linkeddata #wikidata
Mostly I code in R, the #rstats community is a great, caring group of people. I like to write tutorials 
, occasionally I post them on https://katharinabrunner.de/blog
Ok, I guess it's #introduction time.
Hi, I'm Ville! 
At work, I do #software #development with a focus on #AI and #dataprocessing.
I'm also a part-time doctoral researcher. My #research focuses on scaling #hvac #monitoring with the use of #SemanticWeb technologies and other #KnowledgeGraph tools.
My hobbies and interests include:
#ttrpg #BoardGames #VideoGames #cycling #reading #pkm
I may not post much, but I'll boost content I find interesting, cool, or just funny.
I live in #Copenhagen (#Ørestad) with my wife and toddler son. I spend most of my day either on my computer or my #bicycle.
I work in #Danish #academia within the area of #LanguageTechnology using—pretty much exclusively—the #Clojure #programming language to get the job done. I am also becoming quite familiar with #RDF #KnowledgeGraph tech.
In the not so distant past I lived in northern #China. I also speak & read #Chinese, although I must admit that it's pretty rusty now.
