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Growing Triples on Trees: an XML-RDF Hybrid Model for Annotated Documents

François Goasdoué 1, 2 Konstantinos Karanasos 1, 2 Yannis Katsis 3 Julien Leblay 1, 2 Ioana Manolescu 1, 2 Stamatis Zampetakis 1, 4 
1 LEO - Distributed and heterogeneous data and knowledge
UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
3 DAHU - Verification in databases
LSV - Laboratoire Spécification et Vérification [Cachan], Inria Saclay - Ile de France
Abstract : Content on today's Web is typically document-structured and richly connected; XML is by now widely adopted to represent Web data. Moreover, the vision of a computer- understandable Web relies on Web (and real world) resources described by simple properties having names or values; URIs are the normative method of identifying resources and RDF (the Resource Description Framework) enjoys important trac- tion as a way to encode such statements. We present XR, a carefully designed hybrid model be- tween XML and RDF, for describing RDF-annotated XML documents. XR follows and combines the W3C's XML, URI and RDF standards by assigning URIs to all XML nodes and enabling these URIs to appear in RDF statements. The XR management platform thus provides the capabilities to cre- ate and handle interconnected XML and RDF content. We define the XR data model, its query language, and present preliminary results with a prototype implementation.
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Contributor : Ioana Manolescu Connect in order to contact the contributor
Submitted on : Tuesday, September 20, 2011 - 12:11:12 PM
Last modification on : Wednesday, October 26, 2022 - 4:00:47 AM
Long-term archiving on: : Sunday, December 4, 2016 - 2:11:41 PM


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  • HAL Id : inria-00624996, version 1


François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu, et al.. Growing Triples on Trees: an XML-RDF Hybrid Model for Annotated Documents. First International Workshop on Searching and Integrating New Web Data Sources, Sep 2011, Seattle, United States. ⟨inria-00624996⟩



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