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

Recent News from ISWC 2024

Recent News from ISWC 2024

Last week, Francesco, Angelo, and Tanay attended the 23rd International Semantic Web Conference (ISWC) in Baltimore, Maryland. ISWC is the premier conference in the field of Semantic Web, known for...

Michael McCoubrey joins the SKM team

Michael McCoubrey joins the SKM team

On 1 October 2024, KMi’s Scholarly Knowledge Modelling (SKM) team welcomed Michael McCoubrey, who is starting his part-time doctoral research under the supervision of Dr Angelo Salatino, Dr...

Report on the Computer Science Ontology and CSO Classifier Impact

Report on the Computer Science Ontology and CSO Classifier Impact

Abstract Since their release, both the Computer Science Ontology and the CSO Classifier have received growing attention. They are being employed within several applications and proved to effectively...

KMi shines at SEMANTiCS 2024 conference

KMi shines at SEMANTiCS 2024 conference

KMi is delighted to showcase its influential participation at SEMANTiCS 2024. Dr. Angelo Salatino and Dr. Francesco Osborne were actively involved in organizing the conference, a process that...

The AIDA Dashboard featured in the OpenAlex Keynote

The AIDA Dashboard featured in the OpenAlex Keynote

On 12th September, the LISBibliometrics conference, an established gathering for Bibliometrics and Scientometrics practitioners, was held at the University of Brighton. The theme “Exploring...

Artificial Intelligence for Literature Reviews: Opportunities and Challenges

Artificial Intelligence for Literature Reviews: Opportunities and Challenges

Exciting news! Our new survey paper about AI tools for literature reviews was published by Artificial Intelligence Review. The paper presents a comprehensive review of the use of Artificial...

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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

Motta, E., Osborne, F., Pulici, M., Salatino, A. and Naja, I. (2024) Capturing the Viewpoint Dynamics in the News Domain, Proceedings of the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24), Amsterdam, Netherlands


Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2024) Enhancing Hate Speech Annotations with Background Semantics, 27th European Conference on Artificial Intelligence (ECAI 2024) – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Santiago de Compostela, Spain


Pisu, A., Pompianu, L., Salatino, A., Osborne, F., Riboni, D., Motta, E. and Recupero, D. (2024) Classifying Scientific Topic Relationships with SciBERT, Joint Proc. of Posters, Demos, Workshops, and Tutorials of the 20th Int.l Conf. on Semantic Systems (SEMANTiCS 2024), Amsterdam


Naja, I., Divin, N., Coward, S., Campbell, S., Benatti, F. and Antonini, A. (2024) Conversational Media for Inclusive Access to Mental Health Interventions for Schoolchildren, 35th ACM Conference on Hypertext and Social Media (HT '24), Poznań, Poland


Naja, I., Juarez, A. and Antonini, A. (2024) Social Media and Cities: a case-study based analysis of how digital life influences the urban physical environment, 35th ACM Conference on Hypertext and Social Media (HT '24), Poznań, Poland


Antonini, A. and Naja, I. (2024) Positive Media, 35th ACM Conference on Hypertext and Social Media (HT '24), Poznań, Poland


Mulholland, P., Kranenburg, P., Carvalho, J. and Daga, E. (2024) Supporting the End-User Curation of Cultural Heritage Knowledge Graphs, 35th ACM Conference on Hypertext and Social Media (HT '24), Poznań, Poland


Benatti, F., Towheed, S., Blackburn-Daniels, S. and Antonini, A. (2024) @TellMeWhatUReadingbot: the Multi-modal Strategy of the READ-IT Project for Collecting Experiences of Reading, Creative Intelligence: 35th ACM Conference on Hypertext and Social Media (HT '24), Poznan, Poland


Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2024) Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies, Information, 15


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


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