LODStats (Presentation for KESW2013 System Demo)

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This presentation presents LODStats application for gathering statistics about RDF datasets.

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LODStats (Presentation for KESW2013 System Demo)

  1. 1. Linked Open Data Statistics: Collection and Exploitation Ivan Ermilov, Michael Martin, Jens Lehmann, Sören Auer
  2. 2. Agenda ● Why LODStats? ● Architecture ● Core Module ● Web Interface ● RDF DataCube
  3. 3. Why LODStats? ● Evaluate RDF datasets ● Gathers 32 statistical criteria such as: – Number of triples, entities, literals... – Average string length – Vocabularies, classes used ● Helps you understand your data ● Generates VoID descriptions
  4. 4. Why LODStats? LODStats can answer the following questions: ● Which visualization is suitable for my dataset? – Does data contain RDF DataCubes? – Does data contain geospatial information? – What is the class hierarchy depth? ● Is it suitable for my application? – Is it linked to DBpedia? – Is it the largest existing dataset in this domain?
  5. 5. LODStats Architecture https://github.com/AKSW/LODStats https://github.com/AKSW/LODStats_WWW
  6. 6. LODStats: Core Module ● Python module (tested on Ubuntu 12.04) ● Command line interface ● Do the actual work
  7. 7. LODStats: Web Interface http://stats.lod2.eu/
  8. 8. LODStats Features (1) ● General LOD cloud statistics ● Report of warnings and errors for each dataset ● Report on statistical criteria for each individual dataset ● Export as VoID and DataCube statistical metadata ● Dataset linkage explorer ● Search function for datasets, vocabularies, classes, properties, languages, datatypes
  9. 9. LODStats Features (2) ● REST interface for the above search functions ● Linked Data publication of statistics ● SPARQL endpoint to query all extracted statistics ● CubeViz installation for facet-based browsing and visualisation of the statistical metadata
  10. 10. LODStats: Class Stats http://stats.lod2.eu/
  11. 11. LODStats RDF DataCube https://github.com/AKSW/LODStats_WWW/blob/master/LODStats-Sparqlify/lodstats.sml
  12. 12. LODStats RDF DataCube
  13. 13. Thank you for your attention! Questions? Ivan Ermilov iermilov@informatik.uni-leipzig.de

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