Work Package Advisor and Key Researcher
Data Science, Intelligent Systems, Semantic Web Technologies, Visual Analytics, Robotics, Large-Scale Data Infrastructures, Human-Computer Interaction
WP3: Media Content Production & Analysis
The Open University
Professor Enrico Motta is a Professor of Knowledge Technologies at the Knowledge Media Institute (KMi) of the UK’s Open University and at the Department of Information Science and Media Studies of the University of Bergen.
His work spans a variety of research areas to do with data science, semantic and language technologies, intelligent systems and robotics, and human-computer interaction. He has authored over 350 refereed publications and his h-index is 69. Over the years, Prof. Motta has received over £12M in external funding from a variety of institutional funding bodies, including EU, EPSRC, AHRC, the Arts Council, NERC, HEFCE, and Innovate UK.
His research has also attracted funding from commercial organizations, including the top two international scientific publishers, Elsevier and Springer Nature. Since 2014 he has been collaborating with Milton Keynes Council on its ‘smart city’ agenda, first as Director of the £17M, award-winning MK:Smart project, and then on the CityLabs and MK:5G initiatives.
Prof. Motta has also acted as advisor on strategic research programmes to several national and international organizations in a variety of countries, including UK, US, The Netherlands, Austria, Finland, and Estonia. He was Editor in Chief of the International Journal of Human Computer Studies from 2004 to 2018, one of the top international journals in HCI. In 2003 he founded the ground-breaking European Summer School on Ontological Engineering and the Semantic Web (SSSW), which provided the main international postgraduate forum for learning about semantic technologies until its final edition in 2016. The innovative pedagogic model pioneered in the SSSW series of summer schools has since been adopted by several other similar initiatives.
His current activities include the use of AI techniques in the academic publishing industry; the deployment of intelligent robots in healthcare and urban settings; the development of sophisticated data management infrastructures for smart cities; and the use of AI techniques in computational journalism.
Publications from 2020 and before are not direct results of the SFI MediaFutures, but are key results from our team members working on related topics in MediaFutures.
|AI-KG: an automatically generated knowledge graph of artificial intelligence Conference |
nternational Semantic Web Conference, Springer, 2020, (Pre SFI).
|Analysis and design of computational news angles Journal Article |
IEEE Access, 8 , pp. 120613-120626, 2020, (Pre SFI).
|Towards a Framework for Visual Intelligence in Service Robotics: Epistemic Requirements and Gap Analysis Journal Article |
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020), pp. 905–916, 2020, (Pre SFI).
|Capturing themed evidence, a hybrid approach Conference |
roceedings of the 10th International Conference on Knowledge Capture, 2019, (Pre SFI).
|AUGUR: forecasting the emergence of new research topics Conference |
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018, (Pre SFI).