🚀 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

🔬 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

🔥 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

📣📣 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

🔬 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

🔥 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. 📄 arxiv.org/pdf/2602.19115

🔥 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. 📄 dl.acm.org/doi/10.1145/...

🔥 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. 📄https://dl.acm.org/doi/full/10.1145/3768292.3770371

📢 Call for Submissions Open! Join us for #SEMANTiCS2026. Let's discuss the future of #LinkedData & #Semantic #AI! 📍Ghent, BE 📅 Sept 15-17, 2026 🔹 Research & Innovation 🔹 Industry & Use Case 🔹 Posters & Demos 🔹 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! 📄 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. 📄 doi.org/10.1109/ACCE... #ML #Sustainability #Research

🔥 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. 📄 dl.acm.org/doi/10.1145/...

Happy to share our paper on "𝘓𝘢𝘳𝘨𝘦 𝘭𝘢𝘯𝘨𝘶𝘢𝘨𝘦 𝘮𝘰𝘥𝘦𝘭𝘴 𝘧𝘰𝘳 𝘴𝘤𝘩𝘰𝘭𝘢𝘳𝘭𝘺 𝘰𝘯𝘵𝘰𝘭𝘰𝘨𝘺 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘰𝘯: 𝘈𝘯 𝘦𝘹𝘵𝘦𝘯𝘴𝘪𝘷𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘯 𝘵𝘩𝘦 𝘦𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨 𝘧𝘪𝘦𝘭𝘥" has been published at 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐚𝐧𝐝 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭. 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. 🔗Paper: www.nature.com/articles/s41...

🚀 #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

🔥 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. 📄 journals.sagepub.com/doi/10.1177/...

🚀 The future of #AI is human–AI 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. 📄 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

ORCID is pleased to announce that Institute of Electrical and Electronics Engineers, Oxford University Press, Royal Societ... https://shorturl.at/dtOtg?utm_campaign=coschedule&utm_source=bluesky&utm_medium=ORCID&utm_content=Four%20More%20Partners%20Support%20ORCID%27s%20Global%20Participation%20Fund

IA oltre l'intelligenza: la rivoluzione dell'Agire Artificiale www.fisicapop.it/202...

🚀 #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! 🔗 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

🚀 #AI and #KnowledgeGraphs are revolutionizing #BigData management! Excited to share our latest paper on managing data platform catalogs as #KnowledgeGraphs, boosting flexibility and robustness. 🔗 Paper: rdcu.be/edbnq #DataScience #MachineLearning #Research

Recap from #ISWC 2024 in Baltimore, MD: Awesome discussions at the #RAGEKG workshop! 🎉. Thank you to the session chairs @polleres.bsky.social and @fosborne.bsky.social moderating discussions on #KnowledgeGraph + #LLM #RAG systems. 🔗 Papers: 2024.rage-kg.org #KGs #GenAI #Research