Semantic Web Challenges for Visualisation and Visual Analytics
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Semantic Web Challenges for Visualisation and Visual Analytics

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Talk at retreat of Daniel Kiem's Konstanz visualisation research group. The tal

Talk at retreat of Daniel Kiem's Konstanz visualisation research group. The tal

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Semantic Web Challenges for Visualisation and Visual Analytics Presentation Transcript

  • 1. Semantic Web Challenges for Visualisation & VA
    Alan Dix
    Lancaster Universityand Talis
    hcibook.com/alanalandix.com/blog
  • 2. Semantic Web – What is it?
    web of data for computation
    technologies: RDF, OWL, triples and ontologies
    everything comes in threes<http://alandix.com/me> <foaf:name> “Alan Dix” .<http://alandix.com/me> <bz:works_at> <http://talis.com/> .
    linking (open) data
  • 3. LOD cloud
  • 4. three paths to Sem Web
    <fresh><semantic><data>
    SemWeb:RDF,etc.
    from HTMLadd markup (RDFa)or data detectors
    from existing data(CSV, RDMS, etc.)
  • 5. from raw data to semantic data
    existingraw data
    convert /describe
    <RDF><triples>
    linkedopen data
    linkage(via URIs)
  • 6. existing raw data
    understanding: data, domain, connections
    focus on structure
    heterogeneous representations
    different views (for different purposes) de-normalised
    sub-unit semantics (e.g. “1000 kp rising” )
    super-unit semantics (e.g. lat&long)
    <RDF>
  • 7. converting / describing
    identity:are two things in different places the same
    rules and exceptionslarge so try to do it with rules (e.g. natural keys) but need exceptions when rules don’t hold ... finding them – outliers
    combination of hand-craft and crafted automation = visual analytics !!
    <RDF>
  • 8. RDF / Semantic Data
    schema-lessvocabulary, but optional schema
    potentially rich class & predicate typescoloured graph, not just tables! sometimes level mixing (meta-instance) and maybe BIG
    sometimes text + structure (e.g. ODP)but many small text units (unlike classic IR)
    <RDF>
  • 9. linkage
    establishing identity
    value relationships
    similar issues to raw=>RDF transformation
    <RDF>
  • 10. linked open data
    heterogeneous
    incomplete
    pluggable visualisations
    URI links ... but also value relationships
    very BIG – the web of data
    <RDF>
  • 11. let me know what you do!