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 (Resource Description Framework) enjoys important traction as a way to encode such statements.
We have designed XR, a hybrid model between 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 create and handle interconnected XML and RDF content. We have defined the XR data model, its query language XRQ, and have implemented the prototype platform XRP to experiment with XR.
People
- François Goasdoué
- Konstantinos Karanasos
- Yannis Katsis
- Julien Leblay
- Ioana Manolescu
- Stamatis Zampetakis
Publications
- Growing Triples on Trees: an XML-RDF Hybrid Model for Annotated Documents
François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu and Stamatis Zampetakis
VLDB Journal 2013 – Special Issue on Structured, Social and Crowd-sourced Data on the Web - Fact Checking and Analyzing the Web
François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu and Stamatis Zampetakis
SIGMOD (2013) - Des triplets sur des arbres. Un modèle hybride XML-RDF pour documents annotés.
François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu and Stamatis Zampetakis
Ingénierie des Systèmes d’Information 17(5): 87-111 (2012) - Growing Triples on Trees: an XML-RDF Hybrid Model for Annotated Documents
François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu and Stamatis Zampetakis
VLDS 2011 (extended version) - Growing Triples on Trees: an XML-RDF Hybrid Model for Annotated Documents
François Goasdoué, Konstantinos Karanasos, Yannis Katsis, Julien Leblay, Ioana Manolescu and Stamatis Zampetakis
BDA 2011
XR Demo: FactMinder
Fact checking and data journalism are currently strong trends. The sheer amount of data at hand makes it difficult even for trained professionals to spot biased, outdated or simply incorrect information. We propose to demonstrate FactMinder, a fact checking and analysis assistance application. This video show how FactMidner enables to quickly find background knowledge from open data repositories to help build insightful overviews of current topics.