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.
Showcase
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 aim is to create new methods to model, predict and understand human behaviour from big data sets.
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
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
Salatino, 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
Vukadinovic Greetham, D. and Hattam, L. (2019) Green neighbourhoods: the role of big data in low voltage networks' planning, in eds. Emrouznejad, Ali and Charles, Vincent, Big Data for the Greater Good, 42, pp. 151-169
Future Seminars
When are household load profiles similar? Comparing distance measures for Smart Meter Data Analytics
This event will take place on Monday 22 July 2019
Marcus Voss - Technische Universität
The smart meter roll-out in many countries leads to energy providers, energy value-added service providers, and grid operators having access to increasing amounts of high-resolution load...
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
