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ESWC 2009 In-Use Track: SCOVO
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ESWC 2009 In-Use Track: SCOVO

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http://www.eswc2009.org/program-menu/accepted-in-use-track-papers/130-michael-hausenblas-wolfgang-halb-yves-raimond-lee-feigenbaum-and-danny-ayers-scovo-using-statistics-on-the-web-of-data

http://www.eswc2009.org/program-menu/accepted-in-use-track-papers/130-michael-hausenblas-wolfgang-halb-yves-raimond-lee-feigenbaum-and-danny-ayers-scovo-using-statistics-on-the-web-of-data

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Transcript

  • 1.
    • 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
  • 2. Agenda
    • SCOVO Motivation
    • Requirements and Issues
    • Statistical Modelling Framework
    • Comparison
    • Usage
  • 3. Motivation
    • SCOVO: S tatistical Co re Vo cabulary http://sw.joanneum.at/scovo
    • Statistical data is present everywhere
  • 4. 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
  • 5. 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/
  • 6. Issues
    • Handling of Multiple Dimensions
    • Reusability and Uptake
    • Structural vs. Domain Semantics
    • Performance and Scalability Issues
  • 7. 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.
  • 8. Statistical Modelling Framework
  • 9. SCOVO http://purl.org/NET/scovo
  • 10. Comparison
  • 11. 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;)
      • }
  • 12. 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)
  • 13. 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.
  • 14. Usage: RDFStats http://semwiq.faw.uni- linz.ac.at/node/9
  • 15. 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
  • 16.
    • Let‘s discuss!