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

AI for the Research Ecosystem workshop #AI4RE – round up

AI for the Research Ecosystem workshop #AI4RE – round up

On March 22, 2024, the AI for the Research Ecosystem workshop (#AI4RE) took place in London, kindly hosted by UCL in the wonderful surroundings of Chandler House. The workshop was part of the Turing...

SKM3 at ISWC 2023

SKM3 at ISWC 2023

The 22nd International Semantic Web Conference (ISWC 2023), a leading global event for the Semantic Web and Knowledge Graph Community, has successfully wrapped up, marked by notable involvement from...

Tanay Aggarwal joins the SKM team

Tanay Aggarwal joins the SKM team

On 1 October 2023, Tanay Aggarwal joined our team, starting his doctoral research under the supervision of Dr Angelo Salatino, Dr Francesco Osborne, and Prof Enrico Motta. Tanay will investigate...

SKM3 at STI 2023

SKM3 at STI 2023

This week STI 2023 – the 27th International Conference on Science, Technology and Innovation Indicators – took place. The Scientometrics community from all around the world gathered in Leiden,...

SKM3 at SEMANTiCS 2023

SKM3 at SEMANTiCS 2023

Last week, the Semantic Web Community gathered once again for another yearly top-notch event: the 19th International Conference on Semantic Systems; commonly known as SEMANTiCS 2023. The SEMANTiCS...

Alessia Pisu joins the SKM team

Alessia Pisu joins the SKM team

On 19 June 2023, KMi’s Scholarly Knowledge Modelling (SKM) team welcomed Alessia Pisu, a visiting PhD student from the University of Cagliari (IT). Over the next six months, Alessia will...

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Team

Tanay Aggarwals PhotoTanay AggarwalPhD Student
Simone  Angionis PhotoSimone AngioniVisiting Student
Alessio Antoninis PhotoAlessio AntoniniResearch Associate
Francisco Bolanos Burgoss PhotoFrancisco Bolanos BurgosPhD Research Student
Jason Carvalhos PhotoJason CarvalhoProject Officer - Data Hub Development
Enrico Dagas PhotoEnrico DagaResearch Fellow
Alba Morales Tirados PhotoAlba Morales TiradoPhD Research Student
Enrico Mottas PhotoEnrico MottaProfessor of Knowledge Technologies
Iman Najas PhotoIman NajaResearch Associate
Francesco Osbornes PhotoFrancesco OsborneResearch Fellow
Riccardo Palas PhotoRiccardo PalaWeb Developer
Alessia Pisus PhotoAlessia PisuVisiting Research Student
Angelo Salatinos PhotoAngelo SalatinoResearch Associate

Resources

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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Publications

2024

Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2024) A comparative analysis of knowledge injection strategies for large language models in the scholarly domain, 133, Elsevier


Morales Tirado, A., Carvalho, J., Ratta, M., Uwasomba, C., Mulholland, P., Barlow, H., Herbert, T. and Daga, E. (2024) Musical Meetups Knowledge Graph (MMKG): a collection of evidence for historical social network analysis, ESWC 2024: The 21st Extended Semantic Web Conference, Hersonissos, Crete, Greece


Daga, E., Daquino, M., Fournier-S’niehotta, R., Guillotel-Nothmann, C. and Scharnhorst, A. (2024) Documenting the research process. Opportunities and challenges for Bibliometrics and Information Retrieval, 13th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2023), Dublin, Ireland


Innominato, P., Macdonald, J., Saxton, W., Longshaw, L., Granger, R., Naja, I., Alloca, C., Edwards, R., Rasheed, S., Folkvord, F., Batlle, J., Ail, R., Motta, E., Bale, C., Fuller, C., Mullard, A., Subbe, C., Griffiths, D., Wreglesworth, N., Pecchia, L., Fico, G. and Antonini, A. (2024) Digital Remote Monitoring Using an mHealth Solution for Survivors of Cancer: Protocol for a Pilot Observational Study, 13, pp. (Early access)


Antonini, A., Brooker, S. and Škopljanac, L. (2024) Spontaneous transmedia co-location: Integration in memory, Memory, Mind & Media, 3


2023

Leo, V., Fenu, G., Greco, D., Bidotti, N., Platter, P., Motta, E., Nuzzolese, A., Osborne, F. and Recupero, D. (2023) Ontology-Based Generation of Data Platform Assets, 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy


Meloni, A., Angioni, S., Salatino, A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2023) AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape The Semantic Web - ISWC 2023, eds. Terry R., et al Payne, 14265, Springer Cham


Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2023) Leveraging Knowledge Graphs with Large Language Models for Classification Tasks in the Tourism Domain, Deep Learning for Knowledge Graphs 2023, Athens


Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2023) Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models, Deep Learning for Knowledge Graphs 2023, Athens


Buscaldi, D., Dessí, D., Motta, E., Murgia, M., Osborne, F. and Recupero, D. (2023) Citation prediction by leveraging transformers and natural language processing heuristics, Information Processing & Management, 61, Elsevier


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