Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and RoboticsUK-RED & READ-IT
The UK Reading Experience Database (UK-RED) is a pioneering project collecting reading experiences, for over 20 years. On 4 January 2021, the UK team of READ-IT released a new version of the UK-RED...
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 UK Reading Experience Database (UK-RED) is a pioneering project collecting reading experiences, for over 20 years. On 4 January 2021, the UK team of READ-IT released a new version of the UK-RED...
The UK Reading Experience Database (UK-RED) is a pioneering project collecting reading experiences, for over 20 years. On 4 January 2021, the UK team of READ-IT released a new version of the UK-RED...
In November 2020, Francesca Benatti and Alessio Antonini from the UK team of READ-IT, with Sam Brooker of the Richmond University of London, presented a new paper on Webcomics at the International...
Last November, at the 19th International Semantic Web Conference, we presented one of our latest research efforts: the AIDA Dashboard. The AIDA Dashboard, is a tool that we developed in...
Fancy having a chat about your reading in realtime? Now you can, with the project chatbot. Our friendly bot will ask you questions about your reading, interact with your answers, and suggest further...
We are thrilled to announce that the second edition of our Smart City Robotics Challenge (SciRoc) will take place in the beautiful city of Bologna, Italy from the 6th – 11th September...
The Open University were pleased to host the most recent consortium meeting on the 20-21 October 2020. On 20 October, we focussed on individual reports from all colleagues on different work...
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
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
Lupi, L. and Antonini, A. (2020) Readapting Propp's character archetypes to explore the relational dimension of city data: a design-oriented approach Readapting Propp's character archetypes to explore the relational dimension of city data: a design-oriented approach, pp. 200-229
Vignale, F., Antonini, A. and Gravier, G. (2020) The Reading Experience Ontology (REO): Reusing and Extending CIDOC CRM, Digital Humanities Conference 2020, Ottawa
Antonini, A., , f. and , e. (2020) Restoration and Repurposing of DH legacy projects: the UK-RED case, Digital Humanities Conference 2020, Ottawa