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
My research specialisation is in Computational Linguistics and Data Science, with a focus on communicating complex data and making information and data (particularly telemetric data) accessible...
My PhD research focuses on the role that interactive web broadcasts play in enhancing distance learning students' sense of community, engagement and learning within STEM modules. My research uses a...
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
Antonini, A. and Lupi, L. (2019) Social AI for Engaging UbiComp, Halfway to the Future, Nottingham, UK
Mensio, M. and Alani, H. (2019) News Source Credibility in the Eyes of Different Assessors, Conference for Truth and Trust Online, London, UK
Celik, D., Mikroyannidis, A., Hlosta, M., Third, A. and Domingue, J. (2019) ADA: A System for Automating the Learning Data Analytics Processing Life Cycle, EC-TEL 2019 14th European Conference on Technology Enhanced Learning, Delft, Netherlands
Recent Seminars
Marcus Voss - Technische Universität
When are household load profiles similar? Comparing distance measures for Smart Meter Data Analytics
This event took place on Monday 22 July 2019
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
