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STEM Faculty

Meet the people who make up STEM Faculty.

Enrico Motta

Enrico Motta

Professor Of Knowledge Technologies

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 366 publications

  • Fadda, M., Motta, E., Osborne, F., Reforgiato Recupero, D. and Salatino, A., 2026, ‘Generating knowledge graphs from news articles via multi-agent claim extraction and attribution’, Knowledge-Based Systems, 352, https://oro.open.ac.uk/111827/.
  • Ekuban, A., Dimes, R. and Motta, E., 2026, ‘SABRINA: The Stakeholder Advocate’, in 25th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2026), 29 Sep - 01 Oct 2026, Turin, Italy., https://oro.open.ac.uk/112369/.
  • Ramzan, F., Salatino, A., Osborne, F., Reforgiato Recupero, D. and Motta, E., 2026, ‘CSO Classifier 4’, 0: Software for efficient ontology-based topic annotation in computer science. SoftwareX, 35, https://oro.open.ac.uk/111829/.
  • Fadda, M., Motta, E., Osborne, F., Reforgiato Recupero, D. and Salatino, A., 2026, ‘Integrating Large Language Models and knowledge graphs to capture political viewpoints in news media’, EPJ Data Science, 15(1), https://oro.open.ac.uk/111485/.
  • Aggarwal, T., Salatino, A., Osborne, F. and Motta, E., 2026, ‘Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study’, ACM Transactions on Intelligent Systems and Technology, 17(5), https://oro.open.ac.uk/110795/.
  • Aggarwal, T., Salatino, A., Osborne, F. and Motta, E., 2026, ‘Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field’, in Workshop on LLM-driven Knowledge Graph and Ontology Engineering (llms4kgoe) 2026 co-located with ESWC 2026, 11 May 2026, Dubrovnik, Croatia., https://oro.open.ac.uk/112032/.
  • Salatino, A., Osborne, F., Recupero, D. R., Angioni, S. and Motta, E., 2026, ‘Does Diversity of Expertise Drive Citation Impact? Evidence from Computer Science’, Scientometrics, 131 pp. 1119–1146., https://oro.open.ac.uk/109014/.
  • Fadda, M., Motta, E., Osborne, F., Recupero, D. R. and Salatino, A., 2026, ‘From Text to Triples: A Neuro-Symbolic Pipeline for Structured Claim Extraction’, in ESWC’26: 5th Workshop on LLM-Integrated Knowledge Graph Generation from Text (TEXT2KG), , 10-14 May 2026, Dubrovnik, Croatia., https://oro.open.ac.uk/111732/.
  • Bolanos Burgos, F., Salatino, A. A., Osborne, F. and Motta, E., 2026, ‘Modelling and classifying the components of literature reviews: a novel annotation schema and evaluation of transformer models’, PeerJ Computer Science, 12, https://oro.open.ac.uk/110897/.
  • 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/.