The Intelligent Systems and Data Science team carries out research in a variety of areas relevant to the development of user-centric, intelligent, data-intensive solutions, including Data Science, Semantic Web Technologies, Visual Analytics, Robotics, Large-Scale Data Infrastructures, Internet of Things, Machine Learning, and Human-Computer Interaction. Application domains include Smart Cities, Scholarly Data and Digital Humanities.
Our research is characterised by an emphasis on developing concrete solutions for concrete user audiences, while at the same time ensuring problems are approached by means of a broad socio-technological perspective. In addition, we also believe that most interesting problems can only be addressed through interdisciplinary approaches, hence our solutions tend to integrate different classes of computational methods, such as augmenting scalable data mining techniques with semantic technologies and background knowledge to improve both system performance and explainability.
Recent highlights comprise our work on the MK:Smart and MK:5G projects, which includes the development of the MK:Insight portal and the MK Data Hub infrastructure; our ongoing collaboration with Springer Nature on decision support tools for the academic publishing industry; our work on ‘robots in smart cities’ in the context of the SciRoc and Gatekeeper projects, and our collaborations with social scientists and musicologists to support and improve research methods in the Humanities.
In addition to our core R&D work, we are also closely engaged with the wider business community both in Milton Keynes and the wider SEMLEP region and indeed we consider innovation support a key aspect of our mission. In particular, we ran CityLabs, an innovative technology transfer programme funded by the European Regional Development Fund, which enabled SMEs in our region (South East Midlands) to take advantage of our expertise in Intelligent Systems and Data Science to develop innovative products and services for the digital economy.
The Gerhard K. Kraetzschmar Memorial Symposium and the SciRoc Camp will be held from Monday 21 September to Friday 25 September, 2020. The symposium is a week long summit of robotics talks to...
ABSTRACT: Academia and industry share a complex, multifaceted, and symbiotic relationship. Analysing the knowledge flow between them, understanding which directions have the biggest potential, and...
We’re pleased to announce the Release of the Experience & Observation (E&O). E&O is an ontology design pattern for describing the research case studies on experience. The E&O...
The Open University researchers Alessio Antonini and Francesca Benatti have had a paper accepted to the 13th international conference on interactive digital storytelling, ICDIS 2020, taking place on...
On 15th July 2020, a paper by Open University researchers Alessio Antonini, Francesca Benatti and Sally Blackburn-Daniels was awarded the Douglas Engelbart Best Paper Award at the 31stACM...
The paper ‘Mediation as Calibration: A Framework for Evaluating the Author/Reader Relation’ tackles one the key findings of the modelling of the reading experience: the centrality of...
Simone AngioniVisiting Student
Alessio AntoniniResearch Associate
Gianluca BardaroResearch Associate
Jason CarvalhoProject Officer - Data Hub Development
Agnese ChiattiPhD Research Student
Enrico DagaSenior Project Officer: Data Science Group
Alba Morales TiradoPhD Research Student
Enrico MottaProfessor of Knowledge Technologies
Francesco OsborneResearch Fellow
Angelo SalatinoResearch AssociateIn this video, the Health & Safety robot inspector under development at ISDS, which is called HanS, is navigating KMi searching for a set of relevant everyday objects. The robot’s location...
A video produced by the My New Term team describing the collaboration between My New Term and The Open University in the context of the CityLabs innovation...
An early demo of Hans our robot who is aware of our health and safety guidelines and is able to navigate the lab, checking that these are enforced. In this early demo Hans goes around KMi spotting...
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
Bruni, L., Daga, E., Damiano, R., Diaz, L., Kuflik, T., Lieto, A., Gangemi, A., Mulholland, P., Peroni, S., Pescarin, S. and Wecker, A. (2020) Towards Advanced Interfaces for Citizen Curation, Workshop on Advanced Visual Interfaces and Interactions in Cultural Heritage (AVI2CH 2020), Ischia, Italy
Salatino, A.A., Osborne, F. and Motta, E. (2020) ResearchFlow: Understanding the Knowledge Flow between Academia and Industry, 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), Bolzano (Italy) (Online)
Antonini, A., , f. and , s. (2020) On Links To Be: Exercises in Style #2, 31st ACM Conference on Hypertext and Social Media (HT'20), Online
Antonini, A. and Brooker, S. (2020) Mediation as Calibration: A Framework for Evaluating the Author/Reader Relation, Proceedings of the 31st ACM HyperText, Orlando, Florida, USA
Chiatti, A., Bardaro, G., Bastianelli, E., , i., Mitra, P. and Motta, E. (2020) Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching, 9
Salatino, A.A., Thanapalasingam, T., Mannocci, A., Birukou, A., Osborne, F. and Motta, E. (2020) The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas, Data Intelligence, 2, 2, pp. 379â€"416
Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics, 1st Workshop on Scientific Knowledge Graphs, Lyon, France
Salatino, A.A., Osborne, F. and Motta, E. (2020) Ontology Extraction and Usage in the Scholarly Knowledge Domain Applications and Practices in Ontology Design, Extraction, and Reasoning, eds. Giuseppe Cota,Marilena Daquino,Gian Luca Pozzato, IOS Press
Daga, E. and Motta, E. (2019) Capturing themed evidence, a hybrid approach, Proceedings of the 18th International Conference on Knowledge Capture, Marina del Rey, California, United States
Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and Robotics