SPARQL Query Extensions Sample Clauses

SPARQL Query Extensions. As preparation for implementing the SPARQL-MM [KSS+14, PBT+] query language in WP4, the SPARQL support in Apache Marmotta4 has been significantly improved. All SPARQL queries are now 3xxxx://xxx.xxxx-xxxxxxx.xx/ns/platform/1.0/schema# 4xxxx://xxxxxxxx.xxxxxx.xxx/kiwi/sparql.html directly translated into SQL queries in the underlying database following the relational schema used internally by Apache Marmotta. This gives the following benefits: • existing geo and multimedia extensions of the underlying database can be used from SPARQL (e.g. PostGIS for working with geometric shapes) • filter queries over large amounts of result data (e.g. region information about each key frame in a video) can be efficiently evaluated • aggregation queries needed for recommendation in WP5 can be efficiently evaluated The relational schema of Apache Marmotta consists of two main tables, NODES and TRIPLES. The NODES table stores an entry for each RDF node (URI, blank node, or literal) used in the triple store. In case the node is typed (e.g. a number or date), the typed value is also stored in a separate column. The TRIPLES table contains quadruples referring to the nodes table for subject, predicate, object, and context. Table 1 gives an overview over how SPARQL constructs are mapped into SQL. This information might be useful to estimate evaluation performance or debugging. Note that the evaluation of certain SPARQL constructs can lead to considerable evaluation time (e.g. unnecessary use of DISTINCT, OR- DER BY, GROUP BY or subqueries). Therefore, care should be taken when writing complex queries. SPARQL Extensions are generally implemented as new SPARQL functions (recommended) or so- called virtual predicates (not recommended). •
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