Learning from Linked Open Data Usage: Patterns \& Metrics

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.