๐ Can AI generate research hypotheses? ResearchLink does: a domain-independent method that predicts novel links over scientific KGs, outperforming strong baselines with excellent precision across multiple domains.
https://doi.org/10.1016/j.knosys.2025.113280
#AIinScience #KnowledgeGraphs
๐ฌ AI can analyse news at scale, but first we need to define what a story can be *about*. Our Semantic Web Journal paper proposes a rigorous typology of news topics, realised as reusable ontologies (50 classes, 1,622 axioms).
https://doi.org/10.1177/22104968251344461
#SemanticWeb #AI
๐ฅ AI is transforming scientific discovery, but we need structured knowledge to reason over it. CS-KG 2.0 captures 25M entities and 67M relationships from 15M CS papers. Open via SPARQL. New in Scientific Data (Nature).
https://doi.org/10.1038/s41597-025-05200-8
#KnowledgeGraphs #OpenScience
๐ฃ๐ฃ Researchers and practitioners in NLP, Semantics, Knowledge Engineering, AI, Neurosymbolic AI: this is a call for you! We have various tracks.
We look forward to receiving your manuscript
๐ฌ Stronger science needs teams that combine complementary expertise. Our Scientometrics study of 944K CS papers shows diversity of expertise is a major driver of citation impact (r=0.955).
https://doi.org/10.1007/s11192-026-05560-x
#ScienceOfScience #Scientometrics
Can LLMs build scholarly ontologies? We tested 17 models and the results are striking: top F1-score of 0.967, and even a small 7B model hit 0.92. New paper in Information Processing & Management:
https://doi.org/10.1016/j.ipm.2025.104262
#AI #KnowledgeGraphs
๐ฅ Generative AI is reshaping scientific research. But do these systems actually understand science? In our new paper, we peek inside LLMs to understand how they encode scientific quality, revealing several monosemantic features that predict research quality.
๐ arxiv.org/pdf/2602.19115
๐ฅ Generative AI can now answer complex scientific questions! Our latest paper evaluates the ability of #LLMs to answer questions over #KnowledgeGraphs through Natural Language to #SPARQL translation. Excellent results across multiple benchmarks.
๐ dl.acm.org/doi/10.1145/...
๐ฅ Generative #AI is revolutionising corporate sustainability assessment! In our last paper, we optimised AI agents to identify #ESG activities in corporate documents, boosting transparency and compliance with EU #environmental regulations.
๐https://dl.acm.org/doi/full/10.1145/3768292.3770371
๐ข Call for Submissions Open!
Join us for #SEMANTiCS2026. Let's discuss the future of #LinkedData & #Semantic #AI!
๐Ghent, BE ๐
Sept 15-17, 2026
๐น Research & Innovation
๐น Industry & Use Case
๐น Posters & Demos
๐น Workshops & Tutorials
Calls: 2026-eu.semantics.cc
Please, share!
#SemanticsConf
KMi and Springer Nature renew their partnership for another two years
kmi.open.ac.uk/news/article...
#AIInnovation #ScholarlyPublishing #KnowledgeMining #ResearchIntelligence #AcademicIndustryPartnership #DigitalTransformation #Scientometrics #SpringerNature
Our survey paper on #AI tools for literature reviews has been referenced by the new EU report on the Role of AI in Research! We analyse 32 groundbreaking tools and discuss key challenges. #LLMs are revolutionising the field!
๐ link.springer.com/article/10.1...
#DataScience #ML #Research
Generative #AI is a powerful ally in advancing the #SustainableDevelopmentGoals. Our latest paper shows that small open-source #LLMs can be optimised to accurately identify #SDG content, paving the way for a new generation of monitoring tools.
๐ doi.org/10.1109/ACCE...
#ML #Sustainability #Research
๐ฅ Generative AI can now answer complex scientific questions! Our latest paper evaluates the ability of #LLMs to answer questions over #KnowledgeGraphs through Natural Language to #SPARQL translation.
Excellent results across multiple benchmarks.
๐ dl.acm.org/doi/10.1145/...
Happy to share our paper on "๐๐ข๐ณ๐จ๐ฆ ๐ญ๐ข๐ฏ๐จ๐ถ๐ข๐จ๐ฆ ๐ฎ๐ฐ๐ฅ๐ฆ๐ญ๐ด ๐ง๐ฐ๐ณ ๐ด๐ค๐ฉ๐ฐ๐ญ๐ข๐ณ๐ญ๐บ ๐ฐ๐ฏ๐ต๐ฐ๐ญ๐ฐ๐จ๐บ ๐จ๐ฆ๐ฏ๐ฆ๐ณ๐ข๐ต๐ช๐ฐ๐ฏ: ๐๐ฏ ๐ฆ๐น๐ต๐ฆ๐ฏ๐ด๐ช๐ท๐ฆ ๐ข๐ฏ๐ข๐ญ๐บ๐ด๐ช๐ด ๐ช๐ฏ ๐ต๐ฉ๐ฆ ๐ฆ๐ฏ๐จ๐ช๐ฏ๐ฆ๐ฆ๐ณ๐ช๐ฏ๐จ ๐ง๐ช๐ฆ๐ญ๐ฅ" has been published at ๐๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐ซ๐จ๐๐๐ฌ๐ฌ๐ข๐ง๐ ๐๐ง๐ ๐๐๐ง๐๐ ๐๐ฆ๐๐ง๐ญ.
Great work from our team. @fosborne.bsky.social @tanayaggarwal.bsky.social @enricomotta.bsky.social
All scientific publications are classified according to about 45 taxonomies, ontologies, and organisation systems. Our new survey in Quantitative Science Studies maps this landscape and its potential for AI-driven knowledge integration.
Paper: direct.mit.edu/qss/article/...
#OpenScience
Excited to announce the Computer Science #KnowledgeGraph 2.0! This powerful resource supports #AI systems and researchers in exploring the scientific literature, featuring 25M+ entities (e.g., tasks, methods, materials) from over 15M papers.
๐Paper: www.nature.com/articles/s41...
๐ #AI and semantic technologies are transforming how we study and advance scientific #research! Thrilled to share our latest paper on using #LLMs to generate structured representations of research fields. arxiv.org/abs/2412.08258
#OpenScience #Ontologies #ML #NLP #KG
๐ฅ How do the #News shape public opinion? Who are the agents driving specific narratives? With the power of #AI, we are uncovering the answers!
In our latest paper, we present the most advanced #Ontology yet for fine-grained news classification.
๐ journals.sagepub.com/doi/10.1177/...
๐ The future of #AI is humanโAI collaboration!
Our new paper explores how integrating #LLMs with Human-in-the-Loop greatly enhances #KnowledgeGraph generation and validation. We present several innovative strategies to minimise manual effort.
๐ doi.org/10.1016/j.ip...
#HitL
How can we navigate the complex landscape of #Science and #Research? Our new survey paper on research organisation systems has been accepted by @QSS_ISSI! We analysed 45 taxonomies and ontologies and discussed key trends.
Preprint: arxiv.org/abs/2409.04432
#OpenScience @kmiou
โWe are grateful for the kind support of IEEE, OUP, RSC, and Sage in helping us address current imbalances in ORCID adoption
ORCID is pleased to announce that Institute of Electrical and Electronics Engineers, Oxford University Press, Royal Societ... shorturl.at/dtOtg
๐ #AI is revolutionising scientific discovery! Excited to share our latest paper on AI-driven research hypothesis generation. Integrating #DeepLearning and scientific #KnowledgeGraphs can lead to outstanding insights!
๐ Paper: www.sciencedirect.com/science/arti...
#DataScience #ML #Research
We are delighted to welcome NFDI4DataScience and AI as one of our esteemed sponsors for the International Semantic Web Research Summer School 2025!
www.nfdi4datascience.de
#semanticweb #knowledgegraphs #ai #llms #responsobleAI #lod #linkeddata
Deadline Extension!
We've just extended the deadline for applications for ISWS2025 to March 25, 2025.
Apply now!
2025.semanticwebschool.org
#semanticweb #knowledgegraphs #lod #linkeddata #AI #llms #responsibleAI #PhD #academiclife #dh @merpeltje.bsky.social
@nfdi4objects.bsky.social
๐ #AI and #KnowledgeGraphs are revolutionizing #BigData management! Excited to share our latest paper on managing data platform catalogs as #KnowledgeGraphs, boosting flexibility and robustness.
๐ Paper: rdcu.be/edbnq
#DataScience #MachineLearning #Research
RAGE-KG Workshop
Recap from #ISWC 2024 in Baltimore, MD: Awesome discussions at the #RAGEKG workshop! ๐. Thank you to the session chairs @polleres.bsky.social and @fosborne.bsky.social moderating discussions on #KnowledgeGraph + #LLM #RAG systems.
๐ Papers:
2024.rage-kg.org
#KGs #GenAI #Research
