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...
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.
READ-IT team member Dr Alessio Antonini (The Open University) and Associate Partner Dr Gustavo Gomez Mejia (Université François Rabelais, Tours) have a new peer-reviewed workshop article – ‘All...
READ-IT Project PI-5 Prof Guillaume Gravier (CNRS-IRISA, Rennes) and team members Dr Alessio Antonini (The Open University), Dr Francesca Benatti (The Open University) and Dr François Vignale (Le...
READ-IT UK project team member Dr Alessio Antonini has a new peer-reviewed workshop article – “Developing a meta-language in multidisciplinary research projects: the case study of...
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...
Salatino, 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
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
Antonini, A., Mejia, G. and Lupi, L. (2019) All We Do is Stalking - Studying New Forms of Reading in Social Networks, HyperText 2019, Hof, Germany, ACM
Chiatti, A., Bardaro, G., Bastianelli, E., Tiddi, I., Mitra, P. and Motta, E. (2019) Exploring Task-agnostic, ShapeNet-based Object Recognition for Mobile Robots, Workshop: Data Analytics Solutions for Real LIfe APPlications (DARLI-AP) at EDBT/ICDT 2019 Joint Conference, Lisbon, Portugal
Mannocci, A., Osborne, F. and Motta, E. (2019) Geographical trends in academic conferences: An analysis of authors' affiliations Special Issue about Semantics, Analytics and Visualisation: Enhancing Scholarly Dissemination, pp. (Early Access), IOS Press
Tiddi, I., Bastianelli, E., Daga, E., d'Aquin, M. and Motta, E. (2019) Robot-City Interaction: Mapping the Research Landscape - A Survey of the Interactions Between Robots and Modern Cities Robot-City Interaction: Mapping the Research Landscape - A Survey of the Interactions Between Robots and Modern Cities, pp. (Early Access)
Bruzzo, S., Manghi, P. and Mannocci, A. (2019) OpenAIRE's DOIBoost - Boosting CrossRef for Research, 15th Italian Research Conference on Digital Libraries, IRCDL 2019, Pisa, Italy, January 31 - February 1, 2019, Proceedings, Pisa