The SPARQL2XQuery interoperability framework

Bikakis, Nikos; Tsinaraki, Chrisa; Stavrakantonakis, Ioannis; Gioldasis, Nektarios; Christodoulakis, Stavros

doi:10.1007/s11280-013-0257-x

Cited by 22 publications

(21 citation statements)

References 54 publications

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“…Several other solutions are based on the XSLT technology such as XML Scissor-lift [13] that describes mapping rules in Schematron XML validation language, and AstroGrid-D [14]. SPARQL2XQuery [15] applies XML Schema to RDF/OWL translation rules.…”

Section: Related Workmentioning

confidence: 99%

Translation of Heterogeneous Databases into RDF, and Application to the Construction of a SKOS Taxonomical Reference

Michel

Djimenou

Faron-Zucker

et al. 2016

Lecture Notes in Business Information Processing

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Abstract. While the data deluge accelerates, most of the data produced remains locked in deep Web databases. For the linked open data to benefit from the potential represented by this huge amount of data, it is crucial to come up with solutions to expose heterogeneous databases as linked data. The xR2RML mapping language is an endeavor towards this goal: it is designed to map various types of databases to RDF, by flexibly adapting to heterogeneous query languages and data models while remaining free from any specific language. It extends R2RML, the W3C recommendation for the mapping of relational databases to RDF, and relies on RML for the handling of various data formats. In this paper we present xR2RML, we analyse data models of several modern databases as well as the format in which query results are returned, and we show how xR2RML translates any result data element into RDF, relying on existing languages such as XPath and JSONPath when necessary. We illustrate some features of xR2RML such as the generation of RDF collections and containers, and the ability to deal with mixed data formats. We also describe a real-world use case in which we applied xR2RML to build a SKOS thesaurus aimed at supporting studies on History of Zoology, Archaeozoology and Conservation Biology.

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Section: Related Workmentioning

confidence: 99%

Translation of Heterogeneous Databases into RDF, and Application to the Construction of a SKOS Taxonomical Reference

Michel

Djimenou

Faron-Zucker

et al. 2016

Lecture Notes in Business Information Processing

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show abstract

“…SPARQL2XQuery (Bikakis et al, 2015) relies on the ability of XQuery to support joins, nested queries and complex filtering. For instance a SPARQL FILTER is translated into an encapsulating For-Let-Where XQuery clause.…”

Section: Related Workmentioning

confidence: 99%

“…Several methods were proposed to achieve SPARQL access to relational data, either in the context of RDB-backed RDF stores (Chebotko et al, 2009;Sequeda and Miranker, 2013;Elliott et al, 2009) or using arbitrary relational schemas (Bizer and Cyganiak, 2006;Unbehauen et al, 2013a;Priyatna et al, 2014;Rodríguez-Muro and Rezk, 2015). The mapping of XML data to RDF has been addressed extensively by works such as (Bischof et al, 2012) and (Bikakis et al, 2015), among which the latter proposes a translation from SPARQL to XQuery. Furthermore, extensions of R2RML were proposed such as RML (Dimou et al, 2014) to map heterogeneous data formats (e.g.…”

Section: Introductionmentioning

confidence: 99%

A Generic Mapping-based Query Translation from SPARQL to Various Target Database Query Languages

Michel

Faron-Zucker

Montagnat

2016

Proceedings of the 12th International Conference on Web Information Systems and Technologies

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“…The current version of XS2OWL exploits the OWL 2 semantics (like identity constraints) and supports the new XML constructs introduced in XML Schema 1.1. We have also developed the SPARQL2XQuery Framework for the translation of SPARQL to XQuery [2]. Although several systems offer SPARQL end points over relational data there are no systems supporting XML data.…”

Section: Music Labmentioning

confidence: 99%