This research area focuses on the management, retrieval and representation of information and knowledge.
Information Systems are approaches to managing, structuring and representing information and knowledge.
This research area includes:
- knowledge representation and reasoning
- information retrieval and data mining
- ontology languages
- the foundations of the semantic web
- extracting knowledge and predictions from large, diverse digital data.
This strategy recognises that the information systems research area is large and varied with potential to contribute to a number of key challenges and sectors of national importance.
A strong portfolio
A research and training portfolio that contributes to ongoing advances in data sciences. This should include the strengthening of interactions across the data science landscape. This includes co-development with areas such as databases, graphics and visualisation, human-computer interaction, and operational research.
This area should also complement the work of the Alan Turing Institute, the national centre for data science and artificial intelligence (AI), and the interaction with this area and AI technologies should be strengthened.
Research into sub-symbolic AI, including the processing and representation of data, represents a direct link between the research areas of information systems and artificial intelligence technologies. Involving information systems researchers is vital to realising the aims of our Data Enabled Decision Making priority for the Information and Communication Technologies (ICT) theme.
Strengthened links to other research areas
Strengthened links to the Pervasive and Ubiquitous Computing research area and ICT Networks and Distributed Systems research area, to tackle challenges related to realising complex, open systems (for example, the Internet of Things), which will require new ways of structuring and managing information.
Increased user involvement
Further increased user involvement in this portfolio’s research. In line with our People at the Heart cross-ICT priority, we expect researchers to consider involving, throughout the research process, all users of information systems including individuals, industry, experts and non-experts, for example.
Increased consideration of security issues
Further considered security issues to ensure information systems are reliable and robust, in line with our safe and secure cross-ICT priority.