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, Human-Computer Interaction and others. Application domains include (but are not limited to) 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 broader 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 project, including 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 project, 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 currently run CityLabs, a programme funded by the European Regional Development Fund, which enables 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 CityLabs programme itself is organised along very innovative lines, integrating both business and technology support and comprising a variety of collaboration modalities, ranging from workshops on topics of interest for the wider business community to customised one-to-one sessions.

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News

ResearchFlow: Understanding the Knowledge Flow between Academia and Industry

ResearchFlow: Understanding the Knowledge Flow between Academia and Industry

ABSTRACT: Understanding, monitoring, and predicting the flow of knowledge between academia and industry is of critical importance for a variety of stakeholders, including researchers, policymakers,...

New Italian social media champion, Camilla Antonioni joins the team (10.03.2020)

New Italian social media champion, Camilla Antonioni joins the team (10.03.2020)

      The READ-IT team is delighted to announce that Camilla Antonioni (pictured above) has joined us as our new Italian social media champion, from March 2020. She will be tweeting...

Full program announced for ERF 2020 Workshop

Full program announced for ERF 2020 Workshop

We are happy to announce the full program of the Workshop “Empowering robotics research and tech transfer via competitions” taking place on 5th March from 8:30 to 10:00 and 10:45 to 12:15 at the...

Join us at the European Robotics Forum this March!

Join us at the European Robotics Forum this March!

We are very excited to invite you to join us at our workshop: Empowering Robotics Research and Tech Transfer via Competitions, taking place at the European Robotics Forum (ERF) 2020 in Málaga, Spain...

Klink-2 among the top-cited ISWC papers in the past 5 years

Klink-2 among the top-cited ISWC papers in the past 5 years

We are extremely pleased to see that our paper about Klink-2 is included in the list generated by Google Scholar (link), which presents the most cited papers published in the past 5 years at the...

Open University History of Books and Reading seminar series, ‘Reading and Wellbeing’ (January-May 2020)

Open University History of Books and Reading seminar series, ‘Reading and Wellbeing’ (January-May 2020)

READ-IT UK team lead Dr Shafquat Towheed and his Open University colleague Dr Edmund King are co-running the annual History of Books and Reading seminar series at the Institute of English Studies,...

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Team

Simone  Angionis PhotoSimone AngioniVisiting Student
Alessio Antoninis PhotoAlessio AntoniniResearch Associate
Gianluca Bardaros PhotoGianluca BardaroVisiting PhD Research Student
Jason Carvalhos PhotoJason CarvalhoProject Officer - Data Hub Development
Agnese Chiattis PhotoAgnese ChiattiResearch Assistant
Enrico Dagas PhotoEnrico DagaSenior Project Officer: Data Science Group
Hakan Ezgi Kizilozs PhotoHakan Ezgi KizilozVisiting Researcher
Lucia Lupis PhotoLucia LupiVisiting PhD Research Student
Alba Morales Tirados PhotoAlba Morales TiradoPhD Research Student
Enrico Mottas PhotoEnrico MottaProfessor of Knowledge Technologies
Francesco Osbornes PhotoFrancesco OsborneResearch Fellow
Angelo Salatinos PhotoAngelo SalatinoKMi PhD Student Representative
Thiviyan Thanapalasingams PhotoThiviyan ThanapalasingamResearch Assistant

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

2020

Chiatti, A., Bardaro, G., Bastianelli, E., , i., Mitra, P. and Motta, E. (2020) Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching, 9


2019

Daga, E. and Motta, E. (2019) Capturing themed evidence, a hybrid approach, Proceedings of the 18th International Conference on Knowledge Capture, Marina del Rey, California, United States


Antonini, A. and Lupi, L. (2019) Social AI for Engaging UbiComp, Halfway to the Future, Nottingham, UK


Daga, E. and Motta, E. (2019) Challenging knowledge extraction to support the curation of documentary evidence in the humanities, Third International Workshop on Capturing Scientific Knowledge (Sciknow). Collocated with the tenth International Conference on Knowledge Capture (K-CAP), Los Angeles, California, USA


Daga, E., Meroño-Peñuela, A. and Motta, E. (2019) Modelling and Querying Lists in RDF. A Pragmatic Study, QuWeDa 2019: 3rd Workshop on Querying and Benchmarking the Web of Data, Auckland, New Zealand


Motta, E., Brumby, D. and Mulholland, P. (2019) Introduction to the Special Issue on the 50th Anniversary of IJHCS Introduction to the Special Issue on the 50th Anniversary of IJHCS, 131, pp. 1-3, Elsevier


Salatino, A.A., Osborne, F., Birukou, A. and Motta, E. (2019) Improving Editorial Workflow and Metadata Quality at Springer Nature, The 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand


Salatino, A.A., Osborne, F., Birukou, A. and Motta, E. (2019) Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland


Angioni, S., Osborne, F., Salatino, A.A., Recupero, D. and Motta, E. (2019) Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland


Meroño-Peñuela, A. and Daga, E. (2019) List.MID: A MIDI-Based Benchmark for Evaluating RDF Lists, International Semantic Web Conference (ISWC 2019), The University of Auckland, New Zealand


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