Title :
Will Graph Data Management Techniques Contribute to the Successful Large-Scale Deployment of Semantic Web Technologies?
Author :
Cudre-Mauroux, Philippe
Author_Institution :
eXascale Infolab, Univ. of Fribourg, Fribourg, Switzerland
Abstract :
The Semantic Web vision ambitions to create a large-scale, interconnected Web of machine-processable data in addition to the current Web of documents currently available online. Its most recent and visible incarnation - the Linked Data movement1 - is based on three main principles: using dereferenceable Web identifiers (HTTP URIs) to uniquely identify the various pieces of data online; providing semi-structured information - most often using standard formats like RDF [1] and OWL [2] - about the data when dereferencing the corresponding URIs; providing links to other, semantically related pieces of data.
Keywords :
document handling; graph theory; knowledge representation languages; semantic Web; HTTP URL; OWL; RDF; Web documents; dereferenceable Web identifiers; graph data management techniques; large-scale deployment; linked data movement; machine-processable data; semantic Web technology; semistructured information; Database languages; Ontologies; Query processing; Resource description framework; Semantics;
Conference_Titel :
Data Engineering Workshops (ICDEW), 2012 IEEE 28th International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4673-1640-8
DOI :
10.1109/ICDEW.2012.76
