The 22nd International Semantic Web Conference (ISWC 2023), a leading global event for the Semantic Web and Knowledge Graph Community, has successfully wrapped up, marked by notable involvement from...
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.
HanS is an experiment in service robotics and has been designed to be able to patrol KMi to try and identify possible violations to Health and Safety rules. For instance, typical rules...
In 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...
Meloni, A., Angioni, S., Salatino, A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2023) AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape The Semantic Web - ISWC 2023, eds. Terry R., et al Payne, 14265, Springer Cham
Buscaldi, D., Dessí, D., Motta, E., Murgia, M., Osborne, F. and Recupero, D. (2023) Citation prediction by leveraging transformers and natural language processing heuristics, Information Processing & Management, 61, Elsevier
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, pp. (Early Access)
Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2023) Knowledge-Grounded Target Group Language Recognition in Hate Speech, 19th International Conference on Semantic Systems, Leipzig, Germany
Mulholland, P., Stoneman, A., Carvalho, J., Daga, E. and Maguire, M. (2023) Deep Viewpoints: Scripted Support for the Citizen Curation of Museum Artworks, Proceedings of the 33rd ACM Conference on Hypertext and Social Media (HT '23), Rome, Italy
Antonini, A. (2023) Positive by Design: The Next Big Challenge in Rethinking Media as Agents?, HT '23: Proceedings of the 34th ACM Conference on Hypertext and Social Media, Rome, Italy
Antonini, A., Bushnell, M., Ohge, C., Benatti, F., Adamou, A. and Brooker, S. (2023) Hypertext as Method: Reflections on Hypertext as Design Logic, HT '23: Proceedings of the 34th ACM Conference on Hypertext and Social Media, Rome, Italy
Antonini, A. and Brooker, S. (2023) Name Links: an Aesthetic Discussion, HT '23: Proceedings of the 34th ACM Conference on Hypertext and Social Media, Rome, Italy
Antonini, A. (2023) Design of Map-based Hypertext Systems, HT '23: Proceedings of the 34th ACM Conference on Hypertext and Social Media, Rome, Italy
Antonini, A., Adamou, A., Figueroa, M. and Benatti, F. (2023) Experiential Observations: an Ontology Pattern-based Study on Capturing the Potential Content within Evidences of Experiences, Journal on Computing and Cultural Heritage, 16