Temporal and relation modelling, retrieval and ranking
| Program start date | Application deadline |
| 2024-07-01 | - |
| 2024-10-01 | - |
| 2025-01-01 | - |
Program Overview
Students will develop methods for identifying obsolete or incorrect data, updating knowledge networks, and improving search result relevance.
Program Outline
Other:
This project is about the analysis and temporal modelling, retrieval and ranking of information found in articles and reports. Tasks may include: (1) Temporal Knowledge Graph Reasoning based evolutional entity and relation representations. (2) Design and develop methods for identifying obsolete/fake/incorrect data and for updating the knowledge of the network. (3) Develop methods and strategies for continual learning with focus on temporal information updating. (4) Extend the temporal information search, retrieval and ranking methods with query reformulation and relevance feedback functionality. Temporal modelling of search results. (5) Develop methods for improving relevance of search results. These can include methods bridging vision and language with structured semantic representations with focus on information retrieval. (6) The development of an interactive tool that would include the above functionality. Datasets can be research articles, papers, medical books, etc.
Project Supervisors:
- Prof. Georgina Cosma: Head of the Data Science Lab (https://dslab.org/) and Loughborough Artificial Intelligence (AI) group within the Wolfson School of Mechanical, Electrical and Manufacturing Engineering. She is a chartered engineer, fellow of the British Computer Society and holds a PhD degree in Robotics from Imperial College London.
- PhD Finder: https://www.findaphd.com/phds/programme/temporal-and-relation-modelling-retrieval-and-ranking/?p190756
UK fee: £4,712 Full-time degree per annum International fee: £26,000 Full-time degree per annum University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.
