KMi is a diverse and multidisciplinary R&D lab that has been at the forefront of innovation since 1995, conducting research in computing technologies for social and environmental good. Our research spans Semantic Technologies, Artificial Intelligence, Educational Media, Social Data Science, Scholarly Data, Blockchain, Citizen Science, Collective Intelligence, Smart Cities, and others.
Upcoming Seminar
Large Language Models for Scientific Question Answering: an Extensive Analysis of the SciQA Benchmark
This event will take place on Tuesday 23 July 2024
Mr Antonello Meloni - Department of Mathematics and Computer Science, University of Cagliari, IT
The SciQA benchmark for scientific question answering presents a challenging task for next-generation question-answering systems, where standard large language models often fall short. In this...
Showcase
People
My personal mission is to design technology for triggering positive social changes. Beyond pursuing adequate and pleasant user interactions, my research aims at exploring design methods and...
Francisco Bolanos is a Ph.D. student at the Knowledge Media Institute in the Open University. His research interest is focused on the implementation of AI techniques for scientific...
Testimonials
"If you are or want to be a brilliant mind, this is where you want to be!"
Valentina Presutti, Institute of Cognitive Science and Technologies, Italy
"I cannot imagine going to a conference without experiencing deep scientific conversations with KMiers!"
Raphaël Troncy, EURECOM: Graduate School & Research Center, France
"Top location for SW research for decades and going strong!"
Pascal Hitzler, Kansas State University, USA
Publications
Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2024) Enhancing Hate Speech Annotations with Background Semantics, 27th European Conference on Artificial Intelligence (ECAI 2024) – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Santiago de Compostela, Spain
Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2024) Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies, Information, 15
Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2024) A comparative analysis of knowledge injection strategies for large language models in the scholarly domain, 133, Elsevier
