Learning from Linked Open Data Usage : Patterns And Metrics

  • Moeller K
  • Hausenblas M
  • Cyganiak R
 et al. 
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Abstract

Although the cloud of Linked Open Data has been growing continuously for several years, little is known about the par- ticular features of linked data usage. Motivating why it is important to understand the usage of Linked Data, we de- scribe typical linked data usage scenarios and contrast the so derived requirement with conventional server access analy- sis. Then, we report on usage patterns found through an in- depth analysis of access logs of four popular LOD datasets. Eventually, based on the usage patterns we found in the analysis, we propose metrics for assessing Linked Data us- age from the human and the machine perspective, taking into account different agent types and resource representa- tions.

Author-supplied keywords

  • 21
  • 22
  • 26
  • 27
  • access
  • analysing server logs
  • end
  • linked data
  • old
  • research has focused typically
  • usage patterns
  • web data
  • web itself

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Authors

  • Knud Moeller

  • Michael Hausenblas

  • Richard Cyganiak

  • Siegfried Handschuh

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