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.

See Our Research Themes

Showcase

COVID-19 Research Logo
SWEET Logo
QualiChain Logo

People

Anna De Liddo - Photograph

My research focuses on the socio-technical factors influencing the design and uptake of Collective Intelligence infrastructures. These are online environments which seek to improve collective...

Read more about Anna De Liddo

 
Martin Hlosta - Photograph

I am a Visiting Research Fellow. Currenlty at Swiss Distance University of Applied Sciences (Fernfachhochschule Schweiz – FFHS) - The Institute for Research in Open, Distance and eLearning...

Read more about Martin Hlosta

Testimonials

collaborator
"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

collaborator
"I cannot imagine going to a conference without experiencing deep scientific conversations with KMiers!"

Raphaël Troncy, EURECOM: Graduate School & Research Center, France

collaborator
"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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details Publications | doi 

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

Publications | Visit External Site for Details Publications | doi 

View all 28 publications from 2024

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team