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With the adoption of RDF as the data model for Linked Data and the SemanticWeb, query specification from end- users has become more and more common inSPARQL end- points. In this paper, we conduct an in-depth analytical study ofthe queries formulated by end-users and harvested from large and up-to-datequery logs from a wide variety of RDF data sources. As opposed to previousstudies, ours is the first assessment on a voluminous query corpus, span- ningover several years and covering many representative SPARQL endpoints. Apartfrom the syntactical structure of the queries, that exhibits alreadyinteresting results on this generalized corpus, we drill deeper in thestructural char- acteristics related to the graph- and hypergraph represen-tation of queries. We outline the most common shapes of queries when visuallydisplayed as pseudographs, and char- acterize their (hyper-)tree width.Moreover, we analyze the evolution of queries over time, by introducing thenovel con- cept of a streak, i.e., a sequence of queries that appear assubsequent modifications of a seed query. Our study offers several freshinsights on the already rich query features of real SPARQL queries formulatedby real users, and brings us to draw a number of conclusions and pinpointfuture di- rections for SPARQL query evaluation, query optimization, tuning,and benchmarking.

An Analytical Study of Large SPARQL Query Logs