ISDS Team Photo

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.

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News

On Links To Be: Exercises in Style #2

On 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...

IRISA team wins 2nd place for the Entity linking in French in the HIPE challenge

IRISA team wins 2nd place for the Entity linking in French in the HIPE challenge

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...

Agnese secures 2nd place at the 2020 OU poster competition

Agnese secures 2nd place at the 2020 OU poster competition

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 and Mr Jelte van Boheemen join READ-IT (1.06.2020)

Dr Berit Janssen and Mr Jelte van Boheemen join READ-IT (1.06.2020)

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...

Major milestone reached: Reading Experience Ontology released on GitHub

Major milestone reached: Reading Experience Ontology released on GitHub

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)...

AIDA: a Knowledge Graph about ResearchDynamics in Academia and Industry

AIDA: a Knowledge Graph about ResearchDynamics in Academia and Industry

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...

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Team

Simone  Angionis PhotoSimone AngioniVisiting Student
Alessio Antoninis PhotoAlessio AntoniniResearch Associate
Gianluca Bardaros PhotoGianluca BardaroResearch Associate
Jason Carvalhos PhotoJason CarvalhoProject Officer - Data Hub Development
Agnese Chiattis PhotoAgnese ChiattiPhD Research Student
Enrico Dagas PhotoEnrico DagaSenior Project Officer: Data Science Group
Alba Morales Tirados PhotoAlba Morales TiradoPhD Research Student
Enrico Mottas PhotoEnrico MottaProfessor of Knowledge Technologies
Francesco Osbornes PhotoFrancesco OsborneResearch Fellow
Angelo Salatinos PhotoAngelo SalatinoResearch Associate

Resources

Meet HanS: the Health & Safety Robot Inspector

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...

CityLabs: Video describing the collaboration between My New Term and The Open University

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...

Meet Hans, the Autonomous Health and Safety Inspector – preliminary demo

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...

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Publications

2020

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


2019

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


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