Managing information quality in e-Science using semantic Web technology

Alun Preece, Binling Jin, Edoardo Pignotti, Paolo Missier, Suzanne Embury, David Stead, Al Brown

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We outline a framework for managing information quality (IQ) in e-Science, using ontologies, semantic annotation of resources, and data bindings. Scientists define the quality characteristics that are of importance in their particular domain by extending an OWL DL IQ ontology, which classifies and organises these domain-specific quality characteristics within an overall quality management framework. RDF is used to annotate data resources, with reference to IQ indicators defined in the ontology. Data bindings -again defined in RDF - are used to represent mappings between data elements (e.g. defined in XML Schemas) and the IQ ontology. As a practical illustration of our approach, we present a case study from the domain of proteomics. © Springer-Verlag Berlin Heidelberg 2006.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    PublisherSpringer Nature
    Pages472-486
    Number of pages14
    Volume4011
    ISBN (Print)3540345442, 9783540345442
    DOIs
    Publication statusPublished - 2006
    Event3rd European Semantic Web Conference, ESWC 2006 - Budva
    Duration: 1 Jul 2006 → …

    Publication series

    NameLecture Notes in Computer Science

    Conference

    Conference3rd European Semantic Web Conference, ESWC 2006
    CityBudva
    Period1/07/06 → …

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