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Ontology-based system for human movement experts

Project Description

Research Group: Computing, Informatics and Applications Research Group and
Cambridge Centre for Sport and Exercise Sciences

Proposed supervisory team
Dr Cristina Luca ()
Dr Francesca Cavallerio ()
Katrina McDonald ()

Theme: Semantic web, big data

Summary of the research project

This project is cross-disciplinary and aims to help transfer skills between sports, from professional coaches to volunteers, and more generally between human movement experts. A new ontology-based software solution will be created to help achieve the above aim.
The field of sport and exercise is continuously developing, with great numbers of participants of different ages and levels of ability joining every day. In recreational environment coaches are often volunteers (e.g., parents who want to contribute to their children’s youth community, students), who do not work professionally in the area and might not have a specific and in-depth understanding of highly specialised knowledge of human movement. Despite the enthusiasm and the participation in different forms of coaching education, these people often do not have access to trustworthy coaching-specific resources and often resolve to random internet sources to develop their knowledge (Anglia Ruskin University Cambridgeshire Coaching Network, January 2017). In a similar way, high-performance coaches nowadays are encouraged more and more to transfer knowledge from one sport to the other, despite often not having the underpinning knowledge to do so successfully.

Therefore, the main aim of this project is to help promote and transfer between sports best practices in coaching by building an ontology that stores the knowledge about different techniques and methods used by human movement experts in different situations (e.g., coaching, rehabilitation). The reason for choosing an ontology to store the information is that the knowledge in the domain of human movement is vast yet scattered and stored in different formats on the internet. Moreover, the quality of the information is questioned when the source is unknown.

Where you’ll study

Cambridge (

Next steps

If you wish to be considered for this project, you will need to apply for our Computer and Information Science PhD ( In the section of the application form entitled ’Outline research proposal’, please quote the above title and include a research proposal.

Funding Notes

This project is self-funded.
Details of studentships for which funding is available are selected by a competitive process and are advertised on our jobs website (View Website) as they become available.

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