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.


AIDA Dashboard team wins Best In-use Paper Award at ISWC 2022

AIDA Dashboard team wins Best In-use Paper Award at ISWC 2022

Members of KMi’s Scholarly Knowledge Modelling Research Group have been announced as winners of the In-Use Paper Award at the International Semantic Web Conference, which is the premiere...

KMi Researchers Launch the AIDA Dashboard

KMi Researchers Launch the AIDA Dashboard

In partnership with Springer Nature and the University of Cagliari, the Scholarly Knowledge Research Group at The Open University’s Knowledge Media Institute has developed the AIDA Dashboard, an...

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...

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Simone  Angionis PhotoSimone AngioniVisiting Student
Alessio Antoninis PhotoAlessio AntoniniResearch Associate
Jason Carvalhos PhotoJason CarvalhoProject Officer - Data Hub Development
Agnese Chiattis PhotoAgnese ChiattiPhD Research Student
Enrico Dagas PhotoEnrico DagaResearch Fellow
Audrey Ekubans PhotoAudrey EkubanResearch Assistant
Alba Morales Tirados PhotoAlba Morales TiradoPhD Research Student
Enrico Mottas PhotoEnrico MottaProfessor of Knowledge Technologies
Francesco Osbornes PhotoFrancesco OsborneResearch Fellow
Riccardo Palas PhotoRiccardo PalaWeb Developer
Angelo Salatinos PhotoAngelo SalatinoResearch Associate


Latest demo of HanS, the Health and Safety Robot Inspector (June 2022)

  HanS is an experiment in service robotics and has been designed to be able to patrol KMi to try and identify possible violations to Health and Safety rules. For instance, typical rules...

Meet HanS: the Health & Safety Robot Inspector (Oct. 2019 demo)

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 Health and Safety Inspector – preliminary demo (June 2019)

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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Chiatti, A., Bardaro, G., Matteucci, M. and Motta, E. (2023) Visual Model Building for Robot Sensemaking: Perspectives, Challenges, and Opportunities, Bridge Session on AI and Robotics of the thirty-seventh AAAI conference on Artificial Intelligence (AAAI-23), Washington DC, USA


Angioni, S., Salatino, A.A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2022) Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature, 21st International Semantic Web Conference, ISWC 2022, Hangzhou, China

Chiatti, A. and Daga, E. (2022) Neuro-symbolic learning for dealing with sparsity in cultural heritage image archives: an empirical journey, Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG), co-located with the 21st International Semantic Web Conference (ISWC), Virtual

Dessí, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (2022) CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science, ISWC, Online

Morales Tirado, A., Daga, E. and Motta, E. (2022) Towards a Knowledge Graph of Health Evolution, 23rd International Conference on Knowledge Engineering and Knowledge Management, Bozen-Bolzano, Italy

Dessí, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (2022) SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain, Knowledge-Based Systems, Elsevier

Brooker, S., Antonini, A., Benatti, F. and Ohge, C. (2022) Missed Connections: Hypertext and Book History, DH+BH: An Interdisciplinary Conference on Digital Humanities and Book History, Virtual

Antonini, A. and Benatti, F. (2022) Cultural Challenges of DH Reflecting on DH Waves, Digital Humanities Congress 2022, Sheffield, UK

Antonini, A. (2022) On Epistemic Comparability and Challenges on Data Reuse: The Experience of READ-IT, DH2022 book of abstracts, Japan

Towheed, S., Antonini, A., Benatti, F. and Brooker, S. (2022) Reading Transmedia: Re-contextualising the Written Word in Popular Web-native Genres, SHARP 2022 – Power of the Written Word, Amsterdam, NL

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