Translating XPath Queries into SPARQL Queries

Droop, Matthias; Flarer, Markus; Groppe, Jinghua; Groppe, Sven; Linnemann, Volker; Pinggera, Jakob; Santner, Florian; Schier, Michael; Schöpf, Felix; Staffler, Hannes; Zugal, Stefan

doi:10.1007/978-3-540-76888-3_5

Cited by 17 publications

(21 citation statements)

References 1 publication

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“…(1) declare namespace foaf="http://xmlns.com/foaf/0.1/"; (2) <results>{ let $___entry___:=/translatedData/entry (3) for $_cE_0 in $___entry___ (4) let $x := $_cE_0/s/text() let $x_datatype := $_cE_0/s_datatype/text() (5) let $name := $_cE_0/o/text() let $name_datatype:=$_cE_0/o_datatype/text() (6) for $_cE_1 in $___entry___ (7) let $mbox := $_cE_1/o/text() let $mbox_datatype:=$_cE_1/o_datatype/text() (8) where matches($mbox,"@work.example") and (9) $_cE_0[p/text()='http://xmlns.com/foaf/0. The following transformation rule for projection operators is the entry point for translating the operator tree of a SPARQL query.…”

Section: Xquerymentioning

confidence: 99%

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Embedding SPARQL into XQuery/XSLT

Groppe

Linnemann

et al. 2008

Proceedings of the 2008 ACM Symposium on Applied Computing

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The tree-based languages XQuery and XSLT for XML are widely supported. Many tools do not yet support the new RDF graph query language SPARQL. We propose to embed SPARQL subqueries into XQuery/XSLT, such that XQuery and XSLT benefit from the graph query language constructs of SPARQL, and SPARQL benefits from features of XQuery/XSLT, which SPARQL does not support. The embedding enables XQuery/XSLT tools to handle at the same time XML queries and SPARQL subqueries, and XML and RDF data.

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Section: Xquerymentioning

confidence: 99%

“…Copyright 2008/08/0003…$5.00. [9] describes a translation from XPath into SPARQL, where due to missing features of SPARQL a numbering scheme has to be used to simulate recursive XPath axes in SPARQL. [16] describes how XQuery can be applied to a mix of RDF and XML data.…”

Section: Introductionmentioning

confidence: 99%

Embedding SPARQL into XQuery/XSLT

Groppe

Linnemann

et al. 2008

Proceedings of the 2008 ACM Symposium on Applied Computing

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“…Various attempts have been made in the literature to address the issue of accessing XML data from within Semantic Web Environments [2,4,5,6,7,8,9,10,11,12]. An extended overview of related work can be found at [13].…”

Section: Introductionmentioning

confidence: 99%

Querying XML Data with SPARQL

Bikakis

Gioldasis

Tsinaraki

et al. 2009

Lecture Notes in Computer Science

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Abstract. SPARQL is today the standard access language for Semantic Web data. In the recent years XML databases have also acquired industrial importance due to the widespread applicability of XML in the Web. In this paper we present a framework that bridges the heterogeneity gap and creates an interoperable environment where SPARQL queries are used to access XML databases. Our approach assumes that fairly generic mappings between ontology constructs and XML Schema constructs have been automatically derived or manually specified. The mappings are used to automatically translate SPARQL queries to semantically equivalent XQuery queries which are used to access the XML databases. We present the algorithms and the implementation of SPARQL2XQuery framework, which is used for answering SPARQL queries over XML databases.

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“…Other approaches integrate existing RDF query languages into XML query languages (XSPARQL [7], [78]) or vice versa ( [60], SPAT 1 . In this work, we present a different answer to this problem: a single, unified language, called Xcerpt, that can query both XML and RDF with the same ease.…”

Section: Introductionmentioning

confidence: 99%

Four Lessons in Versatility or How Query Languages Adapt to the Web

Bry¹,

Furche²,

Linse³

et al. 2009

Semantic Techniques for the Web

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Abstract. Exposing not only human-centered information, but machine-processable data on the Web is one of the commonalities of recent Web trends. It has enabled a new kind of applications and businesses where the data is used in ways not foreseen by the data providers. Yet this exposition has fractured the Web into islands of data, each in different Web formats: Some providers choose XML, others RDF, again others JSON or OWL, for their data, even in similar domains. This fracturing stifles innovation as application builders have to cope not only with one Web stack (e.g., XML technology) but with several ones, each of considerable complexity. With Xcerpt we have developed a rule-and pattern based query language that aims to give shield application builders from much of this complexity: In a single query language XML and RDF data can be accessed, processed, combined, and re-published. Though the need for combined access to XML and RDF data has been recognized in previous work (including the W3C's GRDDL), our approach differs in four main aspects: (1) We provide a single language (rather than two separate or embedded languages), thus minimizing the conceptual overhead of dealing with disparate data formats. (2) Both the declarative (logic-based) and the operational semantics are unified in that they apply for querying XML and RDF in the same way. (3) We show that the resulting query language can be implemented reusing traditional database technology, if desirable. Nevertheless, we also give a unified evaluation approach based on interval labelings of graphs that is at least as fast as existing approaches for tree-shaped XML data, yet provides linear time and space querying also for many RDF graphs. We believe that Web query languages are the right tool for declarative data access in Web applications and that Xcerpt is a significant step towards a more convenient, yet highly efficient data access in a "Web of Data".

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Translating XPath Queries into SPARQL Queries

Cited by 17 publications

References 1 publication

Embedding SPARQL into XQuery/XSLT

Embedding SPARQL into XQuery/XSLT

Querying XML Data with SPARQL

Four Lessons in Versatility or How Query Languages Adapt to the Web

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