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Data and Knowledge

The Data and Knowledge group carries out world leading research in Databases and Semantic Technologies. Topics of interest include query languages and optimisation, factorised and probabilistic databases, knowledge representation formalisms and ontology languages, including Datalog, and reasoning systems. A common focus is the area of Big Data, and in particular “data wrangling” — the process of organising, preparing and accessing complex and heterogeneous data. As well as foundational research, the group also maintains strong links with industry, and has applied its research results in areas as diverse as oil and gas, engineering, business analytics, real estate, medicine and life sciences.


Information Systems Group website

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Information Modelling CellML, ISO 11179, metadata registries, semantic frameworks.

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Research Informatics This includes several examples of the application of computer science…

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FDB We investigate foundational and systems aspects of scalable data management at the conflu…

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SPROUT To develop techniques for scalable query processing in probabilistic databases and use th…

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All Publications


Modular Materialisation of Datalog Programs

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Reasoning over Streaming Data in Metric Temporal Datalog

Read more about Reasoning over Streaming Data in Metric Temporal Datalog

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