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School of Computer Science and Informatics Research

Data and knowledge engineering

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

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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

Group members