Flowcite has teamed up with CORE, the world’s largest aggregator of open access research papers.
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.
Flowcite has teamed up with CORE, the world’s largest aggregator of open access research papers.
A final virtual consortium meeting celebrated the successful conclusion of the MK:5G project, a flagship city initiative centred around the deployment of 5G technologies in Milton Keynes.
A final virtual consortium meeting celebrated the successful conclusion of the MK:5G project, a flagship city initiative centred around the deployment of 5G technologies in Milton Keynes. In...
ISDS @isdsouThursday 01 Apr 2021RT @agnese_chiatti: Our latest work on #reasoning about #commonsense #spatial #relations to build #Visually #Intelligent #Agents. @enricomo…
ISDS @isdsouFriday 19 Mar 2021@enridaga @EU_H2020 @SpiceH2020 @PolifoniaH2020 @kmiou @ou_dh @OUMusic @OU_STEM We look for candidates interested i… https://t.co/1Q2ByyFghL
Chiatti, A., Motta, E., Daga, E. and Bardaro, G. (2021) Fit to Measure: Reasoning about Sizes for Robust Object Recognition, Proceedings of the AAAI2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), International Virtual Event
Daga, E., Meroño-Peñuela, A. and Motta, E. (2021) Sequential Linked Data: the State of Affairs, pp. (In press)
Dessi', D., Osborne, F., Recupero, D., Buscaldi, D., Motta, E. and Sack, H. (2020) AI-KG: an Automatically Generated Knowledge Graph of Artificial Intelligence, International Semantic Web Conference 2020, Online
Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) The AIDA Dashboard: Analysing Conferences with Semantic Technologies, 19th International Semantic Web Conference (ISWC 2020), Athens (Greece) - Virtual
View all of my Publications