Investigating the Relevance of Linked Open Data Sets with SPARQL Queries

Abstract

Linked open data sets are often complex in structure and large in size. Understanding unfamiliar data is a central process when establishing trust with hitherto unknown information. Unfortunately, this can be problematic: manual inspection might be prohibitively time-intensive and would require the complete data set to be available. We propose to investigate the structure and content of data sets using a series of specific queries executed over a given SPARQL endpoint. Within the paper we first define 14 queries, motivate why we created them, and explain how they work. Subsequently, we are demonstrating the feasibility of this approach by applying the queries in the context of a real-world use case study.