Thanks to TDEngine for this nice piece about creating a thin semantic layer on top of sensor data using Ontop and TDEngine:

https://tdengine.com/tdengine-introduces-integration-with-ontop/

@ontop
#KnowledgeGraphs

Call for Posters: DiTraRe Symposium 2025 on the Digitalization of research.
submission deadline: Oct 17, 2025
CfP: https://easychair.org/cfp/DiTraRe2025

Topics:
- Knowledge representation and AI
- Ethical and legal challenges
- Research Infrastructures
- Impact on Science and Society
- Smart data acquisition
- AI-based knowledge realms
- Publication cultures

#digitalization #AI #knowledgegraphs #cfp ##ditrare #aiethics #society #digitalhumanities @fiz_karlsruhe @KIT_Karlsruhe @ITAS @AnnaJacyszyn @Feelix

#Business #Outlooks
The web isn’t URL-shaped anymore · How machines are changing the rules of the web https://ilo.im/165rul

_____
#SearchEngine #SEO #Crawlers #KnowledgeGraphs #Assertions #AI #Development #WebDev #Frontend #HTML

Many thanks to all participants who made our joint event such a success.

AI as an Enabler for Science
3rd NFDI Berlin-Brandenburg meeting (21 May, Weizenbaum Institute): 40 people, 16 consortia.

• Keynotes by Alan Ang (Wikimedia DE) and Georg Rehm (DFKI)

• Demo sessions on AI-ready materials data, self-driving labs, KG chatbots & smart help-desks and more.

• Full report https://zenodo.org/records/15646679

#NFDI #AI #OpenScience #KnowledgeGraphs
#NFDIrocks #LLMs
@mardi @NFDI4DS

The 3rd International Workshop on Knowledge Graphs for Sustainability #KG4S2025 proceedings have been published. The workshop was co-located with the 22nd Extended Semantic Web Conference #ESWC2025 (@eswc_conf) in Portoroz, Slovenia.

https://ceur-ws.org/Vol-4002/

Deadline extension for #SeMatS2025
2nd Int. Workshop on Semantic Materials Science - Harnessing the Power of Semantic Web Technologies in Materials Science, co located at #ISWC2025
New Deadline: Aug 9, 2025, AoE

Please, spread the news and submit! :)

https://sites.google.com/view/semats2025/call-for-papers?authuser=0

#semanticweb #ontologies #bfo #materialsscience #mse #knowledgegraphs #AI @fiz_karlsruhe @fizise @KIT_Karlsruhe @HL @joerg #NFDIMatWerk #PMD #materialdigital #stahldigital

The LD4 Conference was held online last week. Videos of sessions can be found on Youtube:

https://www.youtube.com/watch?v=fVmjHDhS-Fc&list=PLx2ZluWEZtIDTHevbzOScn1mz8-9ITTLL

In our last #ISE2025 lecture last week, we were discussing what makes a node "important" in a knowledge graph. A simple heuristics can be borrowed from graph theory or communication theory: Degree Centrality

Interestingly, in Wikidata In-degree centrality states Jane Austen to be to most "important" female author, while Out-degree centrality claims J.K. Rowling as being more "important" ;-)

#knowledgegraphs #semanticweb #graphtheory #feminism #eyeofthebeholder @sourisnumerique @enorouzi

Yuqicheng Zhu (@yuqichengzhu.bsky.social) presented our paper, Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings, at #ACL2025. This paper studies a key question for the reliability of applications using knowledge graph embeddings: How to quantify the uncertainty? We show that not all data have the same uncertainty and propose a method to have stronger guarantees by grouping similar data.

https://arxiv.org/abs/2505.16877

ISWC 2025 Industry Track notifications are out!
Congrats to all accepted authors!
https://iswc2025.semanticweb.org/#/program/acceptedpapers

Poster & Demo deadline is TOMORROW (July 31)!
CfP:
iswc2025.semanticweb.org#/calls/posters

#ISWC2025 #IndustryTrack #Posters #Demos #SemanticWeb #KnowledgeGraphs #AI #LLM

@anligentile @maribelacosta @GenAsefa

One of our final topics in the #ISE2025 lecture were Knowledge Graph Embeddings. How to vectorise KG structures while preserving their inherent semantics?

#AI #KGE #knowledgegraphs #embeddings #semanticweb #lecture @fizise @tabea @sourisnumerique @enorouzi @fiz_karlsruhe

Time's ticking! ISWC 2025 Poster & Demo deadline is almost here — July 31!

CfP: https://iswc2025.semanticweb.org/#/calls/posters

#ISWC2025 #Posters #Demos #SemanticWeb #KnowledgeGraphs #LLM #AI

@anligentile @maribelacosta @GenAsefa

Discover how integrating #KnowledgeGraphs with #LLM-based systems delivers structured data as a ground truth - enhancing accuracy & reliability.

This approach tackles key challenges like:
Hallucinations
The “lost-in-the-middle” issue
…especially in #RetrievalAugmentedGeneration (#RAG) applications.

Watch the #InfoQ video to dive deeper - #transcript included: https://bit.ly/3U0R7HY

Learn more about one of our Use Case Partners, the Research Data Center Motor Performance at the Institute of Sports & Sports Science at KIT Karlsruhe with our esteemed colleagues Claudia Niessner and Katja Keller

https://zenodo.org/records/15774893

#ditrare @KIT_Karlsruhe @fiz_karlsruhe @ITAS @AnnaJacyszyn @Feelix @sourisnumerique @joerg #knowledgegraphs #sportsscience #sports #AI #dataprivacy

Reminder: ISWC 2025 Posters & Demos Deadline – July 31!
Got a tool, prototype, or early-stage idea? Share it with the community at ISWC 2025!

Deadline: July 31, 2025
https://iswc2025.semanticweb.org/#/calls/posters

#ISWC2025 #Posters #Demos #SemanticWeb #KnowledgeGraphs #LLM #AI

@anligentile @K_e_n_F @maribelacosta @GenAsefa

You are an expert in ontologies and knowledge graphs? You have an interest (or even better expertise) in materials science engineering? Then you should apply! Open PostDoc/Senior Researcher position at FIZ Karlsruhe ISE Research Team in the Knowledge Graph department. More info at https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdocsenior-researcher-wmx

#joboffer #ontologies #bfo #bfo2020 #pmd #materialsscience #knowledgegraphs #jobad #ontologyengineering #semanticweb #modeling @fizise #materialdigital #nfdimatwerk @fiz_karlsruhe

Is complex query answering really complex? A paper at the International Conference on Machine Learning (#ICML2025) presented by Cosimo Gregucci, PhD student at @UniStuttgartAI @Uni_Stuttgart, discussed this question.

In this paper, Cosimo Gregucci, Bo Xiong, Daniel Hernández (@daniel), Lorenzo Loconte, Pasquale Minervini (@pminervini), Steffen Staab, and Antonio Vergari (@nolovedeeplearning) reveal that the “good” performance of SoTA approaches predominantly comes from answers that can be boiled down to single link prediction. Current neural and hybrid solvers can exploit (different) forms of triple memorization to make complex queries much easier. The authors confirm this by reporting the performance of these methods in a stratified analysis and by proposing a hybrid solver, CQD-Hybrid, which, while being a simple extension of an old method like CQD, can be very competitive against other SoTA models.

The paper proposed a way to make query answering benchmarks more challenging in order to advance science.

https://arxiv.org/abs/2410.12537

Last week at the MSE Research Data Forum 2025 in Siegburg with our colleagues @lysander07 @joerg @heikef and Hossein Nasrabadi, discussing NFDIcore ontology, MatWerk Ontology, Matwerk Knowledge Graph and PMDcore ontology.

#materialsscience #mse #nfdimatwerk #nfdirocks #knowledgegraphs #ontologies #bfo @enorouzi @fiz_karlsruhe

What does it take to maintain one of the world's largest repositories of free, structured knowledge?

Read this interview about the challenges Wikidata faces and how the team handles massive scale and constant updates, all while remaining open source:
https://www.bigdatawire.com/2025/07/10/scaling-the-knowledge-graph-behind-wikipedia/ #OpenData #KnowledgeGraphs #BigData #SemanticWeb