Navigating the LOD Subclouds: Assessing Linked Open Data Quality by Domain

The Linked Open Data (LOD) Cloud, a catalog of datasets adhering to Linked Data principles, serves as a critical resource for semantic web applications. It is structured into domains, known as subclouds. While the overall quality of the LOD Cloud has been extensively examined in prior research, the quality of its individual subclouds has received limited attention. This study addresses this gap by evaluating the quality of the LOD Cloud by domain, using the November 2024 snapshot as a reference. The assessment employs KGHeartBeat, a Knowledge Graph (KG) quality assessment tool that evaluates six quality categories: Accessibility, Contextual, Intrinsic, Dataset-Dynamicity, Trust, and Representational aspects.