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/...

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

🚀 #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

🚀 #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