KMi is a multidisciplinary R&D lab that has been at the forefront of innovation for the past 20 years. We lead in a number of areas, including Semantic Technologies, Educational Media, Social Media Analysis, Big Data, Smart Cities, IoT and others.
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People
I am working on CORE project (http://core.kmi.open.ac.uk). I daily work on maintaining CORE service, continuously enhancing it with new features and developing new services for it. Me and my...
Grégoire Burel is a research associate at the Knowledge Media Institute (KMi). His work involves the development and application of machine learning techniques and social semantics for the...
Testimonials
"If you are or want to be a brilliant mind, this is where you want to be!"
Valentina Presutti, Institute of Cognitive Science and Technologies, Italy
"I cannot imagine going to a conference without experiencing deep scientific conversations with KMiers!"
Raphaël Troncy, EURECOM: Graduate School & Research Center, France
"Top location for SW research for decades and going strong!"
Pascal Hitzler, Wright State University, USA
Publications
Vignale, F., Benatti, F. and Antonini, A. (2019) Reading in Europe - Challenge and Case Studies of READ-IT Project, DH2019, Utrecht, Netherland
Lupi, L. and Antonini, A. (2019) City Planning and Web-based technologies: misalignments, convergences, and potential future directions, 16th International Conference on Computers in Urban Planning and Urban Management, Wuhan, China
Antonini, A., Benatti, F., King, E., Vignale, F. and Gravier, G. (2019) Modelling Changes in Diaries, Correspondence and Authors' Libraries to support research on reading: the READ-IT approach, Workshop: Open Data and Ontologies for Cultural Heritage (ODOCH'19) at CAiSE '19, Rome, Italy
Recent Seminars
Shang Gao - University of Tennessee
Deep Learning for Information Extraction from Cancer Pathology Reports
This event took place on Tuesday 19 March 2019
Monica Ihli - Assistant Professor Librarian, University of Tennessee Libraries
Acknowledgement Lag, Impact, and Community Formation: Data-Driven Approaches for Describing Research Outcomes
This event took place on Monday 28 January 2019
Dr. Matti Nelimarkka - Aalto University, Department of Computer Science
Participation and Human-Computer Interaction
This event took place on Wednesday 23 January 2019
Dr. Ewan Colman
Social behavior and the spread of disease in animal populations
This event took place on Monday 10 December 2018
