Information Studies


Knowledge, Information and Data Science (KIDS)

We are an active research group with interests and expertise that span across a number of fields of Artificial Intelligence including knowledge representation, reasoning about actions, natural language processing, probabilistic logics, non-monotonic logics, argumentation, Bayesian reasoning, statistical machine learning, data science, linked data, ontology engineering, semantic data modelling and crowdsourcing.
Our overarching research objective is to develop methodologies, algorithms and paradigms that build bridges between logic-based AI and statistical machine learning approaches, as well as finding practical applications in robust real-world systems.