SPARQL query language for RDF
By E. P. hommeaux. 2011
3,483 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/2eac2cd4dadd45129b9ea21a0a9c453731c7c7a4
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Citations in the corpus
- FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration (2018, background): “18 Various efforts are encouraging ontology reuse without the need for extensive training by providing web portals of customizable spreadsheet or database templates and downloadable speci fi cations, all driven by standardized ontology content.”
- C-SPARQL: a Continuous Query Language for RDF Data Streams (2010, background): “Consequently, the most authoritative source about the syntax and semantics of the SPARQL language is the W3C recommendation [30].”
- Semantics and complexity of SPARQL (2006, methodology): “The interpretations of the examples and the semantics of cases not covered in [15] are currently matter of long discussions in the W3C mailing lists.”
- SP^2Bench: A SPARQL Performance Benchmark (2008, methodology): “Supplementary to RDF, the W3C has recommended the declarative SPARQL [3] query language, which can be used to extract information from RDF graphs.”
- HermiT: An OWL 2 Reasoner (2014, unknown): “The SPARQL query language [33] and its revision SPARQL 1.”
- Binary RDF representation for publication and exchange (HDT) (2013, methodology): “In turn, consumers will download and access the Header locally, or they might consume it using SPARQL queries [48].”
- Explicit Knowledge-based Reasoning for Visual Question Answering (2015, methodology): “In this work we use SPARQL Protocol [32] to query the OpenLink Virtuoso [13] RDBMS.”
- LinkedGeoData: A core for a web of spatial open data (2012, background): “0 [19] with the aim to provide this functionality.”
- An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge (2017, methodology): “There are several tailor-made languages designed for querying KBs, such as SPARQL (Prudhommeaux and Seaborne, 2008).”
- Joint Video and Text Parsing for Understanding Events and Answering Queries (2013, methodology): “Since our joint parse graph can be represented in RDF, we represent a query using SPARQL, the standard query language for RDF [63].”
- The Berlin SPARQL Benchmark (2009, methodology): “Load time (LT): Cumulative time to load an RDF or relational benchmark dataset from the source file into the SUT.”