Data and knowledge engineering

Our research specialises primarily in knowledge representation and reasoning, machine learning and data mining, and mobile and spatial informatics.

Apple Watch

This research is embedded in a variety of application domains where we work closely with end-users. We develop novel techniques for capturing, modelling and processing information to support knowledgeable decision-making.

Our expertise spans several core areas of artificial intelligence and informatics, including:

  • knowledge representation and reasoning
  • machine learning and data mining
  • distributed intelligent systems.

The group’s research in knowledge representation and reasoning addresses a variety of formalisms, including:

  • logics of argumentation and non-monotonic reasoning
  • lexically-informed logics
  • controlled natural language.

Our strengths in machine learning include:

  • text analytics
  • natural language processing
  • privacy-protection in data mining.

Group members’ interests in distributed intelligent systems include:

  • context-aware decision support
  • sensor informatics
  • heterogeneous information management using ontological approaches.

Group leader

A Preece

Professor Alun Preece

Deputy Head of School, Professor of Intelligent Systems, Co-director of Crime and Security Research Institute

Group members

TitleHolderSourceValue (£Ks)
Corpws Cenedlaethol Cymraeg Cyfoes (The National Corpus of Contemporary Welsh): A community driven approach to linguistic corpus constructionDr D Knight, Prof T Fitzpatrick, Dr J Evas and Dr I SpasicESRC1829.88
Formal lexically informed logics for searching the web - FLEXILOGDr S SchockaertEuropean Commission (Horizon 2020)1117.63
Environmental research infrastructures providing shared solutions for science and society - ENVRI PLUSMr A Hardisty and Professor A PreeceEuropean Commission (Horizon 2020)79.6