KMi’s Dr Lara Piccolo hosted a visit yesterday by Prof Alexandre Marino Costa, from Federal University of Santa Catarina in Brazil.
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 Dr Lara Piccolo hosted a visit yesterday by Prof Alexandre Marino Costa, from Federal University of Santa Catarina in Brazil.
KMi staff and doctoral students met on campus on this week for the first large face-to-face gathering since the 2020 lockdown.
HanS is an experiment in service robotics and has been designed to be able to patrol KMi to try and identify possible violations to Health and Safety rules. For instance, typical rules check...
ISDS @isdsouFriday 15 Jul 2022RT @enridaga: “Knowledge Graph Construction with a façade: a unified method to access heterogeneous data sources on the Web”, with @LguSpre…
ISDS @isdsouThursday 07 Jul 2022RT @kmiou: Join @enridaga in the next #KMiSeminar as he presents Data integration with a façade. The case of #KnowledgeGraph construction.…
Chiatti, A., Bardaro, G., Motta, E. and Daga, E. (2022) A Spatial Reasoning Framework for Commonsense Reasoning in Visually Intelligent Agents, Proceedings of the 8th International Workshop on Artificial Intelligence and Cognition (AIC 2022), Örebro, Sweden
Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2022) AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry, Quantitative Science Studies, pp. (In Press)
Allocca, C., Jilali, S., Ail, R., Lee, J., Kim, B., Antonini, A., Motta, E., Schellong, J., Stieler, L., Haleem, M., Georga, E., Pecchia, L., Gaeta, E. and Fico, G. (2022) Toward a Symbolic AI Approach to the WHO/ACSM Physical Activity Sedentary Behavior Guideline, Applied Sciences, 12, MDPI
Chiatti, A., Motta, E. and Daga, E. (2022) Robots with Commonsense: Improving Object Recognition through Size and Spatial Awareness, Workshop: the 2022 AAAI Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), CEUR
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