The Web Science Trust

Learning from Linked Open Data Usage: Patterns & Metrics

Möller, Knud and Hausenblas, Michael and Cyganiak, Richard and Grimnes, Gunnar and Handschuh, Siegfried (2010) Learning from Linked Open Data Usage: Patterns & Metrics. In: Proceedings of the WebSci10: Extending the Frontiers of Society On-Line, April 26-27th, 2010, Raleigh, NC: US.

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Abstract

Although the cloud of Linked Open Data has been growing continuously for several years, little is known about the particular features of linked data usage. Motivating why it is important to understand the usage of Linked Data, we describe typical linked data usage scenarios and contrast the so derived requirement with conventional server access analysis. 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 usage from the human and the machine perspective, taking into account different agent types and resource representations.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:linked open data, usage analysis, metrics
Subjects:Web Science Events > Web Science 2010
ID Code:302
Deposited By: W S T Administrator
Deposited On:15 Mar 2010 10:09
Last Modified:25 Oct 2011 16:57

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