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STEM Faculty

Meet the people who make up STEM Faculty.

Enrico Motta

Enrico Motta

Professor Of Knowledge Technologies

knowledge-media-institute

I lead the Intelligent Systems and Data Science research group in KMi (https://isds.kmi.open.ac.uk). My work has a strong interdisciplinary element, covering Data Integration and Modelling, Human-Computer Interaction, and a variety of Artificial Intelligence (AI) areas, including Semantic and Language Technologies, Machine Learning and Data Mining, Intelligent Systems and Robotics.

My research currently focuses on three main areas of research:

Scholarly Analytics and Metascience. My research team (https://skm.kmi.open.ac.uk) develops AI methods and tools to analyse the research landscape, predict academic and industrial trends, support research work and inform funding and editorial policies.  Since 2014 this line of research has been supported by a grant from Springer Nature.

AI, Media and Democracy. Here, we are investigating new solutions to model media coverage of political discourse at scale. Initial results in this research include the first ontological formalization of the key concepts in this space, such as topic and viewpoint, which are needed to formally characterise media representations of political discourse (https://tinyurl.com/46mpe5jz). Building on this characterisation, we have then developed the first automatic solution able to capture accurately the representation of political viewpoints in the news. Our paper describing this work won the best research paper award at EKAW 2024 (https://tinyurl.com/4t2hnbp3).

Finally, another active area of research concerns hybrid architectures for cognitive robots (https://isds.kmi.open.ac.uk/smart-cities-and-robotics/), which integrate deep learning image recognition methods with common sense knowledge, to enhance the visual intelligence capabilities of autonomous robots. As we illustrated in a 2022 paper (https://tinyurl.com/37jv2upr), augmenting traditional object recognition methods with common-sense reasoning improves a robot’s sensemaking performance and enables them to carry out complex tasks, such as performing health and safety checks in real-world office environments. This innovative work is now feeding into our line of research on Smart Cities, investigating the deployment of cognitive robots in both work and urban environments. A recently acquired grant from Innovate UK builds on these results, through the deployment of cognitive robots carrying out support tasks at MK University Hospital.

Latest publications

Displaying 10 of 204 publications

  • Martinez, B. O., Piano, L., Carta, S. M., Manca, M. M., Motta, E., Pompianu, L., Salluzzi, G. and Annoni, M., 2026, ‘KG4CUT: an ontology to facilitate cutting tool selection and interoperability’, Journal of Intelligent Manufacturing (Early access)., https://oro.open.ac.uk/110026/.
  • Presutti, V., Motta, E. and Sabou, M., 2025, ‘Opportunities for Knowledge Graphs in the AI landscape - An application-centric perspective’, Journal of Web Semantics (Early access)., https://oro.open.ac.uk/104426/.
  • Diakopoulos, N., Trattner, C., Jannach, D., Meijer, I. C. and Motta, E., 2024, ‘Leveraging Professional Ethics for Responsible AI’, Communications of the ACM, 67(2), pp. 19–21., https://oro.open.ac.uk/96244/.
  • Innominato, P., Macdonald, J., Saxton, W., Longshaw, L., Granger, R., Naja, I., Allocca, C., Edwards, R., Rasheed, S., Folkvord, F., de Batle, J., Ail, R., Motta, E., Bale, C., Fuller, C., Mullard, A., Subbe, C., Griffiths, D., Wreglesworth, N., Pecchia, L., Fico, G. and Antonini, A., 2024, ‘Digital remote monitoring using a mobile health solution in cancer survivors: an observational pilot trial protocol’, JMIR Research Protocols, 12, https://oro.open.ac.uk/102625/.
  • Pisu, A., Pompianu, L., Salatino, A., Osborne, F., Riboni, D., Motta, E. and Recupero, D. R., 2024, ‘Leveraging Language Models for Generating Ontologies of Research Topics’, in Text2KG 2024: International Workshop on Knowledge Graph Generation from Text, 28 May 2024, Hersonissos, Crete, Greece., https://oro.open.ac.uk/99938/.
  • Beetz, M., Cimiano, P., Kümpel, M., Motta, E., Tiddi, I. and Töberg, J., 2024, ‘Transforming Web Knowledge into Actionable Knowledge Graphs for Robot Manipulation Tasks’, in ESWC 2024 Workshops and Tutorials Joint Proceedings, 26-27 May 2024, Heraklion, Greece., https://oro.open.ac.uk/99936/.
  • Larasati, R., De Liddo, A. and Motta, E., 2023, ‘Meaningful Explanation Effect on User's Trust in an AI Medical System: Designing Explanations for Non-Expert Users’, ACM Transactions on Interactive Intelligent Systems, 13(4), https://oro.open.ac.uk/94168/.
  • Opdahl, A. L., Tessem, B., Dang-Nguyen, D., Motta, E., Setty, V., Throndsen, E., Tverberg, A. and Trattner, C., 2023, ‘Trustworthy journalism through AI’, Data & Knowledge Engineering, 146, https://oro.open.ac.uk/88684/.
  • Larasati, R., De Liddo, A. and Motta, E., 2023, ‘Human and AI Trust: Trust Attitude Measurement Instrument Development’, in Workshop on Trust and Reliance in AI-Assisted Tasks (TRAIT) at CHI 2023, 23 Apr 2023, Hamburg, Germany., https://oro.open.ac.uk/88780/.
  • Trattner, C., Jannach, D., Motta, E. and Costera Meijer, I., 2022, ‘Responsible media technology and AI: challenges and research directions’, AI and Ethics, 2 pp. 585–594., https://oro.open.ac.uk/81969/.