December 2013
Intermediate to advanced
564 pages
19h 54m
English
Content preview from Big Data Computing
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230 Big Data Computing
etal., 2010). In contrast to OBDA methods, nowadays these approaches require
the materialization of structures at the ontology level (RDF) in order to pro-
vide the input data for stream-based query systems. For instance, C-SPARQL
queries are compiled to SPARQL queries over RDF data that was produced
with specic mappings. C-SPARQL deals with entailments for RDFS or OWL
2 RL by relying on incremental materialization (Barbieri etal., 2010a). See
also Ren and Pan (2011) for an approach based on EL++.
SPARQLstream (Calbimonte etal., 2010) provides for mappings to ontology
notions and translates to stream-based queries to SNEEQL (Brenninkmeijer
etal., 2008), which is the query language for SNEE, a query processor for
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