Querying the Web of Data with XSPARQL 1.1. Dell'Aglio, D.; Polleres, A.; Lopes, N.; and Bischof, S. In ISWC2014 Developers Workshop, volume 1268, of CEUR Workshop Proceedings, October, 2014. CEUR-WS.org.
Querying the Web of Data with XSPARQL 1.1 [pdf]Paper  abstract   bibtex   
On the Web and in corporate environments there exists a lot of XML data in various formats. XQuery and XSLT serve as query and transformation languages for XML. But as RDF also becomes a mainstream format for Web of data, transformations languages between these formats are required. XSPARQL is a hybrid language that provides an integration framework for XML, RDF, but also JSON and relational data by partially combining several languages such as XQuery, SPARQL 1.1 and SQL. In this paper we present the latest open source release of the XSPARQL engine, which is based on standard software components (Jena and Saxon) and outline possible applications of XSPARQL 1.1 to address Web data integration use cases.
@inproceedings{dell-etal-2014iswc-dev,
    title = {Querying the Web of Data with {XSPARQL} 1.1},
    booktitle = {ISWC2014 Developers Workshop},
    author = {Daniele Dell'Aglio and Axel Polleres and Nuno Lopes and Stefan Bischof},
    abstract = {On the Web and in corporate environments there exists a lot of XML data in various formats. XQuery and XSLT serve as query and transformation languages for XML. But as RDF also becomes a mainstream format for Web of data, transformations languages between these formats are required. XSPARQL is a hybrid language that provides an integration framework for XML, RDF, but also JSON and relational data by partially combining several languages such as XQuery, SPARQL 1.1 and SQL. In this paper we present the latest open source release of the XSPARQL engine, which is based on standard software components (Jena and Saxon) and outline possible applications of XSPARQL 1.1 to address Web data integration use cases.},
    url = {http://www.polleres.net/publications/dell-etal-2014iswc-dev.pdf},
    Publisher = {CEUR-WS.org},
    Volume = 1268,
    Series = {CEUR Workshop Proceedings},
    year = 2014,
    month = oct,
    }
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