The main objective of the Linked Open Data paradigm is to crystallize knowledge through the interlinking of already existing but dispersed data. The usefulness of the developed knowledge depends strongly on the quality of the aggregated...

A Metrics-Driven Framework for LOD Quality Assessment

have observed many deficiencies with regard to the quality of Linked Open Data. The first step towards improving the quality of data released as a part of the Linked Open Data Cloud is to develop tools for measuring the quality of such data. To this end...

The vision of the Linked Open Data (LOD) initiative is to provide a distributed model for publishing and meaningfully interlinking open data. The realization of this goal depends strongly on the quality of the data that is published as a part...

Purpose

– One of the most important categories in linked open data (LOD) quality models is “data accessibility.” The purpose of this paper is to propose some metrics and indicators for assessing data accessibility in LOD and the semantic...

The vision of the Linked Open Data (LOD) initiative is to provide a

model for publishing data and meaningfully interlinking such dispersed but

related data. Despite the importance of data quality for the successful growth of...