ESWC 2009 In-Use Track: SCOVO

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    ESWC 2009 In-Use Track: SCOVO - Presentation Transcript

      • SCOVO:
      • Using Statistics on the Web of Data
      • Michael Hausenblas, Wolfgang Halb, Yves Raimond, Lee Feigenbaum, Danny Ayers
      • ESWC2009 In-Use Track, 2009-05-04, Heraklion, Greece
    1. Agenda
      • SCOVO Motivation
      • Requirements and Issues
      • Statistical Modelling Framework
      • Comparison
      • Usage
    2. Motivation
      • SCOVO: S tatistical Co re Vo cabulary http://sw.joanneum.at/scovo
      • Statistical data is present everywhere
    3. Motivation
      • Web of Data is for sharing, accessing and using DATA
      • SCOVO aims at making statistical data easier and better accessible on the Web of Data
    4. Motivation
      • Based on 3 distinct efforts
      • r iese – ‚RDFizing and Interlinking the EuroStat Data Set Effort‘
        • http://riese.joanneum.at
        • Eurostat data (official European statistics)
      • US Census Bureau‘s annual Statistical Abstract
      • Publishing UN and OECD
        • http://oecd.dataincubator.org/
    5. Issues
      • Handling of Multiple Dimensions
      • Reusability and Uptake
      • Structural vs. Domain Semantics
      • Performance and Scalability Issues
    6. Requirements
      • Usable on the Web of Data (URIs, RDF, etc.)
      • Extensible both on schema level and instance level
      • Light-weight, addressing uptake, and performance and scalability issues.
    7. Statistical Modelling Framework
    8. SCOVO http://purl.org/NET/scovo
    9. Comparison
    10. Example
      • From http://purl.org/NET/scovo
        • SELECT ?airport_name ?period ?percent_ontime_arrivals
        • FROM <http://sw.joanneum.at/scovo/otf-example-full.rdf>
        • WHERE {
        • ?item rdf:type scv:Item ;
        • scv:dimension ?airport;
        • scv:dimension ?time_period;
        • scv:dimension ex:ota ;
        • rdf:value ?percent_ontime_arrivals .
        • ?airport rdf:type ex:Airport ;
        • dc:title ?airport_name .
        • ?time_period rdf:type ex:TimePeriod ;
        • scv:min ?min ;
        • scv:max ?max ;
        • dc:title ?period .
        • FILTER ( ?min > &quot;2006-02-01&quot; && ?max < &quot;2006-08-01&quot;)
        • }
    11. Usage: riese
      • R DFizing and I nterlinking the E urostat data S et E ffort
      • http://riese.joanneum.at
      • Contributing to Linking Open Data project
      • Offers linked data version of Eurostat data
      • for both humans and machines (first LOD-in-RDFa dataset in the cloud)
    12. Usage: voiD
      • voiD – Vocabulary of Interlinked Datasets http://semanticweb.org/wiki/VoiD
      • Formal description of linked datasets
      • Uses SCOVO to express stats about triples, interlinking, resources, etc.
    13. Usage: RDFStats http://semwiq.faw.uni- linz.ac.at/node/9
    14. Conclusion
      • Modeling statistics is a non-trivial task (wide range of requirements, etc.)
      • SCOVO is usable, generic, simple
      • However, there are issue:
        • Aggregation
        • Domain semantics
      • Let‘s discuss!

    + Michael HausenblasMichael Hausenblas, 5 months ago

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