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, Human-Computer Interaction and others. Application domains include (but are not limited to) Smart Cities, Scholarly Data and Digital Humanities and Learning.
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 broader 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 project, including 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 project, 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 currently run CityLabs, a programme funded by the European Regional Development Fund, which enables 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 CityLabs programme itself is organised along very innovative lines, integrating both business and technology support and comprising a variety of collaboration modalities, ranging from workshops on topics of interest for the wider business community to customised one-to-one sessions.
Experts in Artificial Intelligence (AI) from around Europe are coming to Milton Keynes this week and will be taking part in a Question-Time type debate with the general public. Surveys carried out in...
Dr Sally Blackburn-Daniels (Postdoctoral Research Associate, The Open University) has now joined the READ-IT project team for 8 months, from 01.09.2019 to 30.04.2020. She is based at The Open...
As part of the SciRoc project, a team of researchers from La Sapienza University in Rome (Lun Wang, Luca Iocchi, Andrea Marrella and Daniele Nardi) has developed a dedicated questionnaire to...
READ-IT team members François Vignale (Le Mans University), Francesca Benatti (The Open University, pictured above) and Alessio Antonini (The Open University) presented a paper, entitled “Reading...
READ-IT Consortium PI Prof Brigitte Ouvry-Vial, together with Chloé Aubry & Cora Krömer (all Le Mans University) have produced a new publication, “Reading and Gaming” in a special...
The 2nd edition of the International Semantic Web Research Summer School (ISWS) was organised by STLab-ISTC National Research Council at the University Residential Centre of Bertinoro between 30th...
Simone AngioniVisiting Student
Alessio AntoniniResearch Associate
Gianluca BardaroVisiting PhD Research Student
Jason CarvalhoProject Officer - Data Hub Development
Agnese ChiattiResearch Assistant
Enrico DagaSenior Project Officer: Data Science Group
Hakan Ezgi KizilozVisiting Researcher
Lucia LupiVisiting PhD Research Student
Alba Morales TiradoPhD Research Student
Enrico MottaProfessor of Knowledge Technologies
Francesco OsborneResearch Fellow
Angelo SalatinoKMi PhD Student Representative
Thiviyan ThanapalasingamResearch AssistantA 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...
Antonini, A. and Lupi, L. (2019) Social AI for Engaging UbiComp, Halfway to the Future, Nottingham, UK
Salatino, A.A., Osborne, F., Birukou, A. and Motta, E. (2019) Improving Editorial Workflow and Metadata Quality at Springer Nature, The 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand
Salatino, A.A., Osborne, F., Birukou, A. and Motta, E. (2019) Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland
Angioni, S., Osborne, F., Salatino, A.A., Recupero, D. and Motta, E. (2019) Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland
Salatino, A.A., Osborne, F., Thanapalasingam, T. and Motta, E. (2019) The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles, TPDL 2019: 23rd International Conference on Theory and Practice of Digital Libraries, Oslo, Norway
Vignale, F., Benatti, F. and Antonini, A. (2019) Reading in Europe - Challenge and Case Studies of READ-IT Project, DH2019, Utrecht, Netherland
Lupi, L. and Antonini, A. (2019) City Planning and Web-based technologies: misalignments, convergences, and potential future directions, 16th International Conference on Computers in Urban Planning and Urban Management, Wuhan, China
Lupi, L. and Antonini, A. (2019) City Planning and Urban Informatics: misalignments, convergences, and potential future direction for web-based technologies, 16th International Conference on Computers in Urban Planning and Urban Management, Wuhan, China
Antonini, A., Benatti, F., King, E., Vignale, F. and Gravier, G. (2019) Modelling Changes in Diaries, Correspondence and Authors' Libraries to support research on reading: the READ-IT approach, Workshop: Open Data and Ontologies for Cultural Heritage (ODOCH'19) at CAiSE '19, Rome, Italy
Antonini, A. and Lupi, L. (2019) Developing a meta-language in multidisciplinary research projects: the case study of READ-IT, Workshop: W14: Standing on the Shoulders of Giants: Exploring the Intersection of Philosophy and HCI at CHI 2019, Glasgow, UK
Scholarly Knowledge Mining
Digital Humanities
Fundamentals of Data Science
Smart Cities and Robotics