Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and RoboticsOn Links To Be: Exercises in Style #2
READ-IT project members Alessio Antonini and Francesca Benatti, and Sally Blackburn-Daniels of the Holographic Lee project, in collaboration with the Holographic Vernon Lee project, have produced...
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.
READ-IT project members Alessio Antonini and Francesca Benatti, and Sally Blackburn-Daniels of the Holographic Lee project, in collaboration with the Holographic Vernon Lee project, have produced...
READ-IT are excited to announce that the IRISA team (Rennes, France) participated in the HIPE (Identifying Historical People, Places and other Entities) challenge. HIPE is a named entity processing...
Great result of Agnese Chiatti, PhD student in KMi and member of the Intelligent Systems and Data Science group, at the 15th Edition of the Postgraduate Research Student Poster Competition,...
Dr Berit Janssen (pictured left) and Mr Jelte van Boheemen (pictured right), both based in the Digital Humanities Lab, Utrecht University, have joined the READ-IT team as developers, working under...
After an intense year and half of project work, Dr. Alessio Antonini (The Open University) and colleagues from Le Mans University and CNRS-IRISA have released the Reading Experience Ontology (REO)...
Abstract: Academia and industry share a complex, multifaceted, and symbiotic relationship. Analysing the knowledge flow between them, understanding which directions have the biggest potential, and...
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...
Chiatti, A., Bardaro, G., Bastianelli, E., , i., Mitra, P. and Motta, E. (2020) Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching, 9
Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics, 1st Workshop on Scientific Knowledge Graphs, Lyon, France
Daga, E. and Motta, E. (2019) Capturing themed evidence, a hybrid approach, Proceedings of the 18th International Conference on Knowledge Capture, Marina del Rey, California, United States
Antonini, A. and Lupi, L. (2019) Social AI for Engaging UbiComp, Halfway to the Future, Nottingham, UK
Daga, E. and Motta, E. (2019) Challenging knowledge extraction to support the curation of documentary evidence in the humanities, Third International Workshop on Capturing Scientific Knowledge (Sciknow). Collocated with the tenth International Conference on Knowledge Capture (K-CAP), Los Angeles, California, USA
Daga, E., Meroño-Peñuela, A. and Motta, E. (2019) Modelling and Querying Lists in RDF. A Pragmatic Study, QuWeDa 2019: 3rd Workshop on Querying and Benchmarking the Web of Data, Auckland, New Zealand
Motta, E., Brumby, D. and Mulholland, P. (2019) Introduction to the Special Issue on the 50th Anniversary of IJHCS Introduction to the Special Issue on the 50th Anniversary of IJHCS, 131, pp. 1-3, Elsevier
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