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

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!