Analyzing Linked Data Quality with LiQuate
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TL;DR
LiQuate (Linked Data Quality Assessment), a tool that combines Bayesian Networks and rule-based systems to analyze the quality of data and links in the LOD cloud is illustrated.
Abstract
The number of datasets in the Linking Open Data (LOD) cloud as well as LOD-based applications have exploded in the last years. However, because of data source heterogeneity, published data may suffer of redundancy, inconsistencies, or may be incomplete; thus, results generated by LOD-based applications may be imprecise, ambiguous, or unreliable. We demonstrate the capabilities of LiQuate (Linked Data Quality Assessment), a tool that relies on Bayesian Networks to analyze the quality of data and links in the LOD cloud.