Personalised narratives through knowledge graphs

Project description

Ontologies enable integration of heterogenous data from multiple sources and in different modalities (e.g. video, text). This creates large knowledge graphs of linked data that underpin a range of information exploration tasks. However, when users are unfamiliar with the conceptual structures encoded in the graph, which is inevitable with large graphs and complex domain knowledge, the exploration experience can be frustrating and overwhelming, and will have little utility for the user’s task.

These challenges will be addressed in this PhD project. It will develop novel automated methods for generating personalised trajectories through knowledge graphs to support sensemaking tasks. Heterogeneous data and existing ontologies produced from current projects will provide the practical need and the experimental platform for this project. Examples include (a) exploration of ontologies and data resources on urban infrastructure to facilitate decision making, or (b) knowledge-driven analysis and exploration of video snippets to facilitate medical consultation training.

Entry requirements

Applications are invited from candidates with a minimum of a UK upper second class honours degree (2:1), and/ or a Master's degree in a relevant subject. We also recognise relevant industrial and academic experience.

How to apply

Formal applications for research degree study should be made online through the university's website. Please state clearly in the research information section of your application, the name of the PhD you wish to apply for is 'Personalised narratives through knowledge graphs' as well as Dr Vania Dimitrova as your proposed supervisor. In the funding section, please state 'School of Computing Funded Studentships' as your sponsor.

If English is not your first language, you must provide evidence that you meet the University’s minimum English Language requirements.

We welcome scholarship applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates.  All scholarships will be awarded on the basis of merit.

If you require any further information please contact the Graduate School Office
e:, t: +44 (0)113 343 8000.