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

Annual SHARP conference ‘Moving Texts: From Discovery to Delivery’ (26-30.07.2021)

Annual SHARP conference ‘Moving Texts: From Discovery to Delivery’ (26-30.07.2021)

The Society for the History of Authorship, Reading and Publishing (SHARP) will meet virtually in Münster, Germany, from July 26 to 30, 2021. Over 400 delegates will be attending to discuss research...

Our 2021 SciRoc Teams Are Confirmed!

Our 2021 SciRoc Teams Are Confirmed!

Our call for registration is now closed and we’re thrilled to share the list of our 2021 participating teams. 16 international teams will join us to compete in the 2nd edition of our SciRoc...

International Society for the Empirical Study of Literature Conference (23-26.05.2021)

International Society for the Empirical Study of Literature Conference (23-26.05.2021)

The Open University READ-IT colleagues Dr. Francesca Benatti and Dr. Alessio Antonini will attend the International Society for the Empirical Study of Literature Conference, 23-26 June 2021. They...

Full registration for SciRoc 2021 is now open!

Full registration for SciRoc 2021 is now open!

Full registration for SciRoc 2021 is now open! Teams can register via our online form. The deadline for registration is Tuesday 15th June, 2021 and all qualifying teams will be announced the...

PAL Robotics confirmed as Platinum Sponsors of the SciRoc event!

PAL Robotics confirmed as Platinum Sponsors of the SciRoc event!

We’re thrilled to announce that PAL Robotics will sponsor the SciRoc event for the second year running! PAL played a huge role in the 1st edition of our Smart Cities Robotics Challenge held in...

Ready to take on SCIROC 2021?

Ready to take on SCIROC 2021?

SMART CITIES ROBOTICS CHALLENGE (SCIROC) 2021 : Call for interest now open! Deadline: Friday 30th April 2021. After the outstanding success of our first Smart Cities Robotics Challenge in Milton...

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Team

Simone  Angionis PhotoSimone AngioniVisiting Student
Alessio Antoninis PhotoAlessio AntoniniResearch Associate
Gianluca Bardaros PhotoGianluca BardaroResearch Associate
Jason Carvalhos PhotoJason CarvalhoProject Officer - Data Hub Development
Agnese Chiattis PhotoAgnese ChiattiPhD Research Student
Enrico Dagas PhotoEnrico DagaResearch Fellow
Alba Morales Tirados PhotoAlba Morales TiradoPhD Research Student
Enrico Mottas PhotoEnrico MottaProfessor of Knowledge Technologies
Francesco Osbornes PhotoFrancesco OsborneResearch Fellow
Angelo Salatinos PhotoAngelo SalatinoResearch Associate

Resources

Meet HanS: the Health & Safety Robot Inspector

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 Autonomous Health and Safety Inspector – preliminary demo

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

2021

Salatino, A.A., Osborne, F. and Motta, E. (2021) CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics, pp. (Early Access)


Chiatti, A., Motta, E., Daga, E. and Bardaro, G. (2021) Fit to Measure: Reasoning about Sizes for Robust Object Recognition, Proceedings of the AAAI2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), International Virtual Event


Danilo, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (2021) Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain, Future Generation Computer Systems, 116, pp. 253-264


Daga, E., Meroño-Peñuela, A. and Motta, E. (2021) Sequential Linked Data: the State of Affairs, pp. (In press)


Mulholland, P., Daga, E., Daquino, M., Díaz-Kommonen, L., Gangemi, A., Kulfik, T., Wecker, A., Maguire, M., Peroni, S. and Pescarin, S. (2021) Enabling multiple voices in the museum: Challenges and approaches, Digital Culture & Society, pp. (In Press)


Salatino, A.A., Mannocci, A. and Osborne, F. (2021) Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs Prediction Dynamics of Research Impact, eds. Yannis Manolopoulos,Thanasis Vergoulis, Springer (In press)


Nayyeri, M., Cil, G., Vahdati, S., Osborne, F., Rahman, M., Angioni, S., Salatino, A.A., Recupero, D., Vassilyeva, N., Motta, E. and Lehmann, J. (2021) Trans4E: Link Prediction on Scholarly Knowledge Graphs, Neurocomputing, pp. (Early Access)


2020

Morales Tirado, A., Oelen, A., Pasqual, V., Shi, M., Umbrico, A., Xu, W. and Celino, I. (2020) A human-in-the-loop framework to handle implicit bias in crowdsourced KGs, ISWS International Semantic Web Research Summer School 2019, Bertinoro, Italy


Dessi', D., Osborne, F., Recupero, D., Buscaldi, D., Motta, E. and Sack, H. (2020) AI-KG: an Automatically Generated Knowledge Graph of Artificial Intelligence, International Semantic Web Conference 2020, Online


Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) The AIDA Dashboard: Analysing Conferences with Semantic Technologies, 19th International Semantic Web Conference (ISWC 2020), Athens (Greece) - Virtual


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