SMART CITIES ROBOTICS CHALLENGE (SCIROC) 2021 : Call for interest now open! Deadline: Friday 30th April 2021. After the outstanding success of our first Smart Cities Robotics Challenge in Milton...
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.
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...
Chiatti, A., Motta, E., Daga, E. and Bardaro, G. (2021) Fit to Measure: Reasoning about Sizes for Robust Object Recognition, Proceedings of the AAAI2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), International Virtual Event
Daga, E., Meroño-Peñuela, A. and Motta, E. (2021) Sequential Linked Data: the State of Affairs, pp. (In press)
Morales Tirado, A., Oelen, A., Pasqual, V., Shi, M., Umbrico, A., Xu, W. and Celino, I. (2020) A human-in-the-loop framework to handle implicit bias in crowdsourced KGs, ISWS International Semantic Web Research Summer School 2019, Bertinoro, Italy
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
Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) The AIDA Dashboard: Analysing Conferences with Semantic Technologies, 19th International Semantic Web Conference (ISWC 2020), Athens (Greece) - Virtual
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)
Morales Tirado, A., Daga, E. and Motta, E. (2020) Effective use of personal health records to support emergency services, EKAW 2020 - 22nd International Conference on Knowledge Engineering and Knowledge Management, Bolzano, Italy
Chiatti, A., Motta, E. and Daga, E. (2020) Towards a Framework for Visual Intelligence in Service Robotics:Epistemic Requirements and Gap Analysis, Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020)
Bellatreche, L., Bentayeb, F., Bieliková, M., Boussaid, O., Catania, B., Ceravolo, P., Demidova, E., Ferrari, M., Lopez, M., Hara, C., Kordić, S., Luković, I., Mannocci, A., Manghi, P., Osborne, F., Papatheodorou, C., Ristić, S., Sacharidis, D., Romero, O., Salatino, A.A., Talens, G., Keulen, M., Vergoulis, T. and Zumer, M. (2020) Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium, ADBIS, TPDL and EDA 2020, Lyon, France