Automatically Extracted SHACL Shapes for DBpedia, YAGO-4, and LUBM & Associated Coverage Statistics

The uploaded datasets contain <strong>automatically extracted </strong>SHACL shapes for DBpedia [1], YAGO-4 [2] and LUBM [3] (with scale factor 500) datasets.<br> These validating SHACL shapes are generated by a program that parses the corresponding RDF files (in `.nt` format). These shapes encode various SHACL constraints, e.g., literal types or RDF types. For each shape we encode coverage in terms of number of entities satisfying such shape, this information is encoded using the void:entities predicate. We have provided as executable Jar file the program we developed to extract these SHACL shapes.<br> More details about the datasets used to extract these shapes and <em>how to run the Jar</em> are available on our GitHub repository https://github.com/Kashif-Rabbani/validatingshapes. [1] Auer, Sören, et al. "Dbpedia: A nucleus for a web of open data." The semantic web. Springer, Berlin, Heidelberg, 2007. 722-735. [2] Pellissier Tanon, Thomas, Gerhard Weikum, and Fabian Suchanek. "Yago 4: A reason-able knowledge base." European Semantic Web Conference. Springer, Cham, 2020. [3] Guo, Yuanbo, Zhengxiang Pan, and Jeff Heflin. "LUBM: A benchmark for OWL knowledge base systems." Journal of Web Semantics 3.2-3 (2005): 158-182.