Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and RoboticsFrancisco joins the SKM team
On 1 February 2023, KMi’s Scholarly Knowledge Modelling (SKM) team welcomed Francisco Bolaños Burgos, who is starting his doctoral research under the supervision of Dr Francesco Osborne, Dr Angelo...
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 1 February 2023, KMi’s Scholarly Knowledge Modelling (SKM) team welcomed Francisco Bolaños Burgos, who is starting his doctoral research under the supervision of Dr Francesco Osborne, Dr Angelo...
On 1 February 2023, KMi’s Scholarly Knowledge Modelling (SKM) team welcomed Francisco Bolaños Burgos, who is starting his doctoral research under the supervision of Dr Francesco Osborne, Dr Angelo...
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...
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...
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...
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...
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...
Simone AngioniVisiting Student
Alessio AntoniniResearch Associate
Francisco Bolanos BurgosPhD Research Student
Jason CarvalhoProject Officer - Data Hub Development
Agnese ChiattiPhD Research Student
Enrico DagaResearch Fellow
Audrey EkubanResearch Assistant
Alba Morales TiradoPhD Research Student
Enrico MottaProfessor of Knowledge Technologies
Iman NajaResearch Associate
Francesco OsborneResearch Fellow
Riccardo PalaWeb Developer
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...
Tirado, A., Carvalho, J., Mulholland, P. and Daga, E. (2023) Musical Meetups: a Knowledge Graph approach for Historical Social Network Analysis, Proceedings of the ESWC 2023 Workshops and Tutorials. Semantic Methods for Events and Stories (SEMMES), Hersonissos, Greece
Haleem, M., Ekuban, A., Antonini, A., Pagliara, S., Pecchia, L. and Allocca, C. (2023) Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis, Electronics, 12, pp. 1989, MDPI
Carvalho, J., Daga, E., Asprino, L., Gangemi, A., Maguire, M., Mulholland, P., Stoneman, A. and Uwasomba, C. (2023) SPICE Linked Data Hub - Data infrastructure and tools to support Citizen Curation, ExICE - Extended Intelligence for Cultural Engagement, Bologna
, 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
Daga, E. and Groth, P. (2023) Data journeys: explaining AI workflows through abstraction, Semantic Web, pp. (Early access)
Meloni, A., Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2023) Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain, IEEE Access, 11, pp. 22468-22489, Institute of Electrical and Electronics Engineers (IEEE)
Opdahl, A., Tessem, B., Dang-Nguyen, D., Motta, E., Setty, V., Throndsen, E., Tverberg, A. and Trattner, C. (2023) Trustworthy journalism through AI, Data & Knowledge Engineering, pp. (Early access)
Daquino, M., Wigham, M., Daga, E., Giagnolini, L. and Tomasi, F. (2023) CLEF. A Linked Open Data native system for Crowdsourcing, Journal on Computing and Cultural Heritage, pp. (Early access), Association for Computing Machinery (ACM)
Larasati, R., De Liddo, A. and Motta, E. (2023) Human and AI Trust: Trust Attitude Measurement Instrument Development, Workshop on Trust and Reliance in AI-Assisted Tasks (TRAIT) at CHI 2023, Hamburg, Germany
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
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