Roper, Bernard, Chapman, Adriane, Martin, David and Morley, Jeremy (2018) A graph testing framework for provenance network analytics. In Provenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings. vol. 11017 LNCS, Springer Verlag. pp. 245-251 . (doi:10.1007/978-3-319-98379-0_29).
Abstract
Provenance Network Analytics is a method of analyzing provenance that assesses a collection of provenance graphs by training a machine learning algorithm to make predictions about the characteristics of data artifacts based on their provenance graph metrics. The shape of a provenance graph can vary according the modelling approach chosen by data analysts, and this is likely to affect the accuracy of machine learning algorithms, so we propose a framework for capturing provenance using semantic web technologies to allow use of multiple provenance models at runtime in order to test their effects.
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- Faculties (pre 2011 reorg) > Faculty of Engineering Science & Maths (pre 2011 reorg) > Geography (pre 2011 reorg) > Remote Sensing & Spatial Analysis (pre 2011 reorg)
Current Faculties > Faculty of Environmental and Life Sciences > School of Geography and Environmental Sciences > Geography (pre 2011 reorg) > Remote Sensing & Spatial Analysis (pre 2011 reorg)
School of Geography and Environmental Sciences > Geography (pre 2011 reorg) > Remote Sensing & Spatial Analysis (pre 2011 reorg) - Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Web and Internet Science
School of Electronics and Computer Science > Web and Internet Science - Faculties (pre 2018 reorg) > Faculty of Physical Sciences and Engineering (pre 2018 reorg) > Electronics & Computer Science (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg)
School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) - Current Faculties > Faculty of Engineering and Physical Sciences > Web Science Institute > CDT Web Science Innovation
Web Science Institute > CDT Web Science Innovation - Current Faculties > Faculty of Environmental and Life Sciences > School of Geography and Environmental Sciences > Population, Health and Wellbeing (PHeW)
School of Geography and Environmental Sciences > Population, Health and Wellbeing (PHeW)
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