KBMetrics - A Multi-purpose Tool for Measuring Quality of Linked Open Data Sets.
Tong Ruan, Xu Jia Dong, Li Yang, Haofen Wang · International Semantic Web Conference · 2015
While several quality assessment tools focus on evaluating the quality of Linking Open Data (LOD), most tools fail to meet diverse quality assessment requirements from the users’ perspective. In this demo, we categorized quality assessments requirements into three layers: understanding the characteristics of data sets, comparing groups of data sets, and selecting data sets according to user-defined usage scenarios. We have designed KBMetrics to incorporate the above quality assessment purposes. Not only does the tool incorporate different kinds of metrics to characterize a data set, but it has also adopted ontology alignment mechanisms for comparison purposes. Most importantly, end users can define usage contexts to adapt to different usage scenarios. Both the quality assessment processes and findings in these data sets show the effectiveness of our tool.