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

Annomation Logo
Augmented / Virtual Reality Logo
Garden Monitor Logo

People

Pinelopi Troullinou - Photograph

I am currently postdoctoral researcher at the Data Science group having recently submitted my thesis at the Business School, Open University. Previously to joining KMi I was visiting Lecturer at the...

Read more about Pinelopi Troullinou

 
Advaith Siddharthan - Photograph

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...

Read more about Advaith Siddharthan

Testimonials

collaborator
"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

collaborator
"I cannot imagine going to a conference without experiencing deep scientific conversations with KMiers!"

Raphaël Troncy, EURECOM: Graduate School & Research Center, France

collaborator
"Top location for SW research for decades and going strong!"

Pascal Hitzler, Wright State University, USA

Publications

Herrmannova, D., Knoth, P. and Patton, R. (2018) Analyzing Citation-Distance Networks for Evaluating Publication Impact, 11th edition of the Language Resources and Evaluation Conference (LREC 2018)

Publications | Download PDF  

Herrmannova, D., Patton, R., Knoth, P. and Stahl, C. (2018) Do Citations and Readership Identify Seminal Publications?, Scientometrics, Springer Netherlands

Publications | Download PDF Publications | doi 

View all 2 publications from 2018

Future Seminars

 Flora Salim

Context recognition and urban intelligence from mining spatio-temporal sensor data

This event will take place on Thursday 15 March 2018

Flora Salim - RMIT University

Effective and efficient techniques for analyzing spatio-temporal sensor data from the urban enviornment are paramount, particularly in addressing these key growth areas in urbanization: human...

Watch the live webcast

Recent Seminars

Juan Sequeda - Capsenta
Integrating Semantic Web in the Real World: A journey between two cities
This event took place on Monday 05 February 2018

 

Douglas Schuler - Evergreen State College
Conceptualizing and Designing with Liberating Voices Patterns
This event took place on Friday 02 February 2018

Diane Butler - The Open University
eSTEeM and KMi: Enhancing Scholarship in STEM
This event took place on Wednesday 24 January 2018

 

Prof. Fabio Ciravegna - Department of Computer Science, The University of Sheffield
Tracking Mobility in large metropolitan areas via their citizens
This event took place on Thursday 18 January 2018

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team