Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and RoboticsThe 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...
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.
On 12th September, the LISBibliometrics conference, an established gathering for Bibliometrics and Scientometrics practitioners, was held at the University of Brighton. The theme “Exploring...
On 12th September, the LISBibliometrics conference, an established gathering for Bibliometrics and Scientometrics practitioners, was held at the University of Brighton. The theme “Exploring...
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...
The field of Artificial Intelligence is rapidly evolving, and to stay ahead of the curve on June 11th Dr. Salatino organized the GenAI & Amazon Bedrock Immersion Day at KMi. This one-day...
Dr. Angelo Salatino, Dr. Francesco Osborne, and Prof. Motta recently participated the 2024 edition of the Extended Semantic Web Conference (ESWC), where they showcased their significant...
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...
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 AggarwalPhD Student
Simone AngioniVisiting Student
Alessio AntoniniResearch Associate
Francisco Bolanos BurgosPhD Research Student
Jason CarvalhoProject Officer - Data Hub Development
Enrico DagaResearch Fellow
Alba Morales TiradoPhD Research Student
Enrico MottaProfessor of Knowledge Technologies
Iman NajaResearch Associate
Francesco OsborneResearch Fellow
Riccardo PalaWeb Developer
Alessia PisuVisiting Research Student
Angelo SalatinoResearch AssociateHanS 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...
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...
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...
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...
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
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
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
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., Carvalho, J. and Morales Tirado, A. (2024) Extracting licence information from web resources with a Large Language Model, 2nd International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data, Heraklion, Greece
Lehmann, J., Meloni, A., Motta, E., Osborne, F., Recupero, D., Salatino, A.A. and Vahdati, S. (2024) Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark, ESWC 2024, Hersonissos, Greece
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