Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and RoboticsThe long history of books as gifts
The Conversation article ‘The Long History of Books as Christmas Gifts’ by Dr Leah Henrickson (Digital Humanities, Loughborough University) includes references to the READ-IT project,...
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.
The Conversation article ‘The Long History of Books as Christmas Gifts’ by Dr Leah Henrickson (Digital Humanities, Loughborough University) includes references to the READ-IT project,...
Want to learn more about how to identify the evidences of reading in printed texts? Want to contribute your own thoughts and experiences of reading to our new European research project, READ-IT? If...
On the 14th of November 2019, the Knowledge Media Institute celebrated its 25th anniversary in the OU Library: a KMi Festival. Among the showcase of KMi cutting-edge research, Dr. Alessio Antonini...
Following the success of the recent SciRoc Challenge, the team at The Open University have been analysing the wealth of data that were exchanged between the robots taking part in the competition...
In September 2019, Milton Keynes, UK successfully hosted the first Smart City Robotics competition ‘SciRoc’ funded by the H2020 EU programme. The aim of the competition is to highlight...
Well… what an event! A huge thank you to all of our sponsors, teams, volunteers and members of the public for getting involved and supporting the 2019 SciRoc Challenge, and to Milton Keynes for...
Simone AngioniVisiting Student
Alessio AntoniniResearch Associate
Gianluca BardaroVisiting PhD Research Student
Jason CarvalhoProject Officer - Data Hub Development
Agnese ChiattiResearch Assistant
Enrico DagaSenior Project Officer: Data Science Group
Hakan Ezgi KizilozVisiting Researcher
Lucia LupiVisiting PhD Research Student
Alba Morales TiradoPhD Research Student
Enrico MottaProfessor of Knowledge Technologies
Francesco OsborneResearch Fellow
Angelo SalatinoKMi PhD Student Representative
Thiviyan ThanapalasingamResearch AssistantIn 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...
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
Salatino, A.A., Osborne, F., Thanapalasingam, T. and Motta, E. (2019) The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles, TPDL 2019: 23rd International Conference on Theory and Practice of Digital Libraries, Oslo, Norway