%0 Report %1 LDBC-D442 %A Papakonstantinou, Vassilis %A Fundulaki, Irini %A Flouris, Giorgos %A Alexiev, Vladimir %D 2014 %K LDBC benchmark inference reasoning %N D4.4.2 %T Benchmark Design for Reasoning %U https://ldbcouncil.org/post/owl-empowered-sparql-query-optimization/LDBC_D4.4.2_final.pdf %X Reasoning (mainly OWL reasoning) has received increasing attention by ontology designers for more accurately representing the domain at hand. To reflect this importance, one of LDBC’s objectives is to identify a set of interesting use cases that consider OWL reasoning constructs (beyond the usual RDFS constructs) that can be used to challenge existing RDF engines or repositories. This Deliverable has two parts: in the first part, we present four different sets of queries that can be used to determine whether RDF query engines take into account OWL constructs during query plan construction or query execution; in the second part we consider how a repository or query engine incorporates and considers business rules, i.e., domain-specific rules that follow common templates, useful in practical applications.

@techreport{LDBC-D442, abstract = {Reasoning (mainly OWL reasoning) has received increasing attention by ontology designers for more accurately representing the domain at hand. To reflect this importance, one of LDBC’s objectives is to identify a set of interesting use cases that consider OWL reasoning constructs (beyond the usual RDFS constructs) that can be used to challenge existing RDF engines or repositories. This Deliverable has two parts: in the first part, we present four different sets of queries that can be used to determine whether RDF query engines take into account OWL constructs during query plan construction or query execution; in the second part we consider how a repository or query engine incorporates and considers business rules, i.e., domain-specific rules that follow common templates, useful in practical applications.}, added-at = {2021-08-25T16:07:36.000+0200}, author = {Papakonstantinou, Vassilis and Fundulaki, Irini and Flouris, Giorgos and Alexiev, Vladimir}, biburl = {https://www.bibsonomy.org/bibtex/24f4c5f71a5a47e29dfc7f6526f526e86/valexiev}, institution = {Linked Data Benchmarking Council project}, interhash = {da7353a3137926961f6fa7804cbd3b8d}, intrahash = {4f4c5f71a5a47e29dfc7f6526f526e86}, keywords = {LDBC benchmark inference reasoning}, month = sep, number = {D4.4.2}, timestamp = {2021-08-25T16:07:36.000+0200}, title = {{Benchmark Design for Reasoning}}, type = {Deliverable}, url = {https://ldbcouncil.org/post/owl-empowered-sparql-query-optimization/LDBC_D4.4.2_final.pdf}, year = 2014 }