Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and RoboticsComputer Science Ontology v3.4.1
The SKM3 team, in collaboration with researchers at Stanford University (CA), has released version 3.4.1 of the Computer Science Ontology. This version significantly expands its coverage of...
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.
The SKM3 team, in collaboration with researchers at Stanford University (CA), has released version 3.4.1 of the Computer Science Ontology. This version significantly expands its coverage of...
The SKM3 team, in collaboration with researchers at Stanford University (CA), has released version 3.4.1 of the Computer Science Ontology. This version significantly expands its coverage of...
Our research leverages the combined capabilities of Artificial Intelligence (AI) and Scientific Knowledge Graphs (SKGs). These graphs provide a way to structure and represent scientific information,...
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...
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...
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 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...
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 check...
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...
Borrego, A., Dessì, D., Ayala, D., Hernández, I., Osborne, F., Recupero, D., Buscaldi, D., Ruiz, D. and Motta, E. (2025) Research hypothesis generation over scientific knowledge graphs, Knowledge-Based Systems, pp. (Early access), Elsevier
Daga, E. (2025) Process Knowledge Graphs (PKG): Towards unpacking and repacking AI applications, Journal of Web Semantics, 84
Brooker, S. and Antonini, A. (2025) On the Aesthetics of Hypertext: a Case Study on Names and a General Framework, New Review of Hypermedia and Multimedia, pp. (In press)
Ratta, M., Daga, E. and Asprino, L. (2025) PySPARQL Anything Showcase The Semantic Web: ESWC 2024 Satellite Events. ESWC 2024, eds. Albert Meroño Peñuela,Elena Simperl,Oscar Corcho,Maria Poveda-Villalón,Paul Groth,Valentina Tamma,Andrea Giovanni Nuzzolese,Marta Sabou,Valentina Presutti,Irene Celino,Artem Rovenko,Joe Raad,Bruno Sartini,Pasquale Lisena, 15344, pp. 301-305, Springer
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
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