KMi is a diverse and multidisciplinary R&D lab that has been at the forefront of innovation since 1995, conducting research in computing technologies for social and environmental good. Our research spans Semantic Technologies, Artificial Intelligence, Educational Media, Social Data Science, Scholarly Data, Blockchain, Citizen Science, Collective Intelligence, Smart Cities, and others.

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Announcements

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Invasion of Ukraine

In line with the majority of people around the world, we at KMi are shocked and appalled by the war in Ukraine, and the irreversible tragedies it is causing. While individual actions may seem insignificant, we strongly believe it is important to join the collective stand in asking the governments of the Russian Federation and Belarus to stop this needless deadly undertaking, resume meaningful peace talks, and save the lives of Ukrainians and Russians alike.

Being aware of the impact of Russian and Belarusian state-financed misinformation campaigns, we call on the Russian and Belarusian academic communities urging them to release public statements of solidarity with Ukraine, reject this war, and to protect and encourage those brave Russians and Belarusian who protest.

Some of our close collaborators have been caught up in this tragic episode, which makes it deeply personal for us.

Below we list a number of links where you can read other statements and contribute to help.

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People

Agnese Chiatti - Photograph

Agnese is a PhD Student at the Knowledge Media Institute (KMi), the Open University, UK. Her research focuses on combining Knowledge technologies with Machine Learning to enhance the robots' ability...

Read more about Agnese Chiatti

 
Chris Sanders - Photograph

I am a Software Developer for the Digital Development Services team

Read more about Chris Sanders

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

Sharma, N., Siddharthan, A., Colucci-Gray, L. and Wal, R. (2022) Consensus building in on-line citizen science, 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 2022), Online

Publications | Visit External Site for Details Publications | Visit External Site for Details  

Bongini, P., Osborne, F., Pedrazzoli, A. and Rossolini, M. (2022) A topic modelling analysis of white papers in security token offerings: Which topic matters for funding?, Technological Forecasting and Social Change, 184

Publications | Visit External Site for Details Publications | doi 

Angioni, S., Salatino, A.A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2022) Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature, 21st International Semantic Web Conference, ISWC 2022, Hangzhou, China

Publications | Visit External Site for Details  

View all 50 publications from 2022

Future Seminars

 Yasin Ghafourian

Relevance Models based on the Knowledge Gap

This event will take place on Wednesday 02 November 2022

Yasin Ghafourian - Vienna University of Technology

Search systems are increasingly used for gaining knowledge through accessing relevant resources from a vast volume of content. However, search systems provide only limited support to users in...

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Recent Seminars

Alba Morales - KMi, The Open University
Health condition evolution for effective use of electronic records: knowledge representation, acquisition, and reasoning
This event took place on Thursday 27 October 2022

 

Fiorela Ciroku - University of Bologna
Reverse engineering of an ontology: Extracting competency questions from knowledge graphs
This event took place on Friday 21 October 2022

Rishabh Upadhyay - Universitą degli Studi di Milano-Bicocca
Domain-Specific Genuine Information Retrieval
This event took place on Thursday 20 October 2022

 

Angel Pavon Perez - Knowledge Media Institute
Tracking bias creep in machine learning with covariance analysis
This event took place on Wednesday 12 October 2022

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

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Email: KMi Development Team