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.

News

SPIROCCO’s App for community-based care

SPIROCCO’s App for community-based care

As part of the H2020 GATEKEEPER, we are developing an App with the SME SPIROCCO to support community-based care. SPIROCCO is a winner of €50k funds of the 1st GK Open Call, addressing our challenge...

Agnese presents her research on robots with common sense at the AAAI Spring Symposium

The 2022 AAAI Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE) took place on March 21-23. The symposium is aimed at bringing together researchers and...

SPARQL Anything at the meeting of the Knowledge Graph Construction W3C community group

SPARQL Anything at the meeting of the Knowledge Graph Construction W3C community group

On 14 February, Enrico Daga joined the biweekly meetings of the Knowledge Graph Construction community group to give a presentation on SPARQL Anything. W3C is a community group that aims to support...

Testing the GATEKEEPER robotic intervention in KMi

Testing the GATEKEEPER robotic intervention in KMi

As part of the GATEKEEPER project, our Gianluca is working on autonomous inspection of home environments aimed to identify and map objects of daily living and identify potential hazards. In...

Testing Robotic Vision through VR

Testing Robotic Vision through VR

As a part of the GATEKEEPER project, we are collaborating with Extend Robotics on the development of VR software for remote presence through the TiaGo robot. The first step is the reconstruction of...

The Semantic Web Community Celebrates its 20th Birthday

The Semantic Web Community Celebrates its 20th Birthday

This year marks the 20th anniversary of the ‘official’ birth of the Semantic Web community, as 2001 saw both the publication of the landmark paper on the Semantic Web by Tim Berners-Lee, Jim...

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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 DagaResearch Fellow
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

2022

Reyero Lobo, P., Daga, E. and Alani, H. (2022) Supporting Online Toxicity Detection with Knowledge Graphs, Sixteenth International AAAI Conference on Web and Social Media, Atlanta, Georgia


Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2022) AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry, Quantitative Science Studies, pp. (In Press)


Manghi, P., Mannocci, A., Osborne, F., Sacharidis, D., Salatino, A.A. and Vergoulis, T. (2022) New Trends in Scientific Knowledge Graphs and Research Impact Assessment, Quantitative Science Studies, pp. 1-5, MIT Press - Journals


Allocca, C., Jilali, S., Ail, R., Lee, J., Kim, B., Antonini, A., Motta, E., Schellong, J., Stieler, L., Haleem, M., Georga, E., Pecchia, L., Gaeta, E. and Fico, G. (2022) Toward a Symbolic AI Approach to the WHO/ACSM Physical Activity Sedentary Behavior Guideline, Applied Sciences, 12, MDPI


Chiatti, A., Motta, E. and Daga, E. (2022) Robots with Commonsense: Improving Object Recognition through Size and Spatial Awareness, Workshop: the 2022 AAAI Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), CEUR


Bardaro, G., Daga, E., Carvalho, J., Chiatti, A. and Motta, E. (2022) Introducing a Smart City Component in a Robotic Competition: A Field Report, 9, Frontiers Media S.A.


Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2022) The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences, IEEE Access, pp. (In press)


Morales Tirado, A., Daga, E. and Motta, E. (2022) CONRAD - Health Condition Radar: an Intelligent System for Emergency Support, Proceedings of 5th Workshop on Semantic Web solutions for large-scale biomedical data analytics co-event with The ESWC 2022: Extended Semantic Web Conference, Hersonissos, Greece


Morales Tirado, A., Daga, E. and Motta, E. (2022) HECON: Health Condition Evolution Ontology, Proceedings of 5th Workshop on Semantic Web solutions for large-scale biomedical data analytics co-event with The ESWC 2022: Extended Semantic Web Conference, Hersonissos, Greece


Chessa, A., Fenu, G., Motta, E., Recupero, D., Osborne, F., Salatino, A.A. and Secchi, L. (2022) Enriching Data Lakes with Knowledge Graphs, Knowledge Graph Generation from Text Workshop, Creete, Greece


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