KMi’s Senior Research Fellow Alexander Mikroyannidis has given an invited talk at the event organised by UNESCO: Unlocking Knowledge: OER DC Webinar for Open Education Week –...
I lead the Intelligent Systems and Data Science research group in KMi, which carries out research in a variety of areas relevant to the development of user-centric, intelligent, data-intensive solutions. These include Artificial Intelligence (AI), Intelligent Systems, Data Science, Semantic Web Technologies, Visual Analytics, Cognitive Robotics, Machine Learning, Human-Computer Interaction and others. Application domains include (but are not limited to) Smart Cities, Scholarly Data, Media Analytics, and Digital Humanities. In March 2019, I also took up a Professor II position at the University of Bergen, to contribute to the development of the MediaFutures Centre and progress a novel research line on the application of AI technologies to Computational Journalism and Media Analytics.
Since 2014 my group has been collaborating closely with Springer Nature, a very successful strategic partnership that has enabled us to ground our research in concrete business requirements, leading to several highly innovative techniques, applications and resources. Another key area of current research concerns the development of intelligent robots, able to integrate state of the art machine learning techniques with knowledge-based reasoning, to improve their visual intelligence and make sense of their environment. A current application context for this work concerns the use of cognitive robots for in-house healthcare assistance.
KMi’s Senior Research Fellow Alexander Mikroyannidis has given an invited talk at the event organised by UNESCO: Unlocking Knowledge: OER DC Webinar for Open Education Week –...
Milton Keynes City Council and The Open University are collaborating once again on the MK:Smart initiative, aiming to strengthen Milton Keynes’ position as a leading smart city globally.
On 1 October 2024, KMi’s Scholarly Knowledge Modelling (SKM) team welcomed Michael McCoubrey, who is starting his part-time doctoral research under the supervision of Dr Angelo Salatino, Dr...
Abstract Since their release, both the Computer Science Ontology and the CSO Classifier have received growing attention. They are being employed within several applications and proved to effectively...
Pisu, A., Pompianu, L., Salatino, A., Osborne, F., Riboni, D., Motta, E. and Recupero, D. (2024) Classifying Scientific Topic Relationships with SciBERT, Joint Proc. of Posters, Demos, Workshops, and Tutorials of the 20th Int.l Conf. on Semantic Systems (SEMANTiCS 2024), Amsterdam
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
Lehmann, J., Meloni, A., Motta, E., Osborne, F., Recupero, D., Salatino, A.A. and Vahdati, S. (2024) Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark, ESWC 2024, Hersonissos, Greece
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