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KGRAM Versatile Inference and Query Engine for the Web of Linked Data

Olivier Corby 1 Alban Gaignard 2 Catherine Faron Zucker 1 Johan Montagnat 2
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Querying and linking distributed and heterogeneous databases is increasingly needed, as plentiful data resources are published over the Web. This work describes the design of a versatile query system named KGRAM that supports (i) multiple query languages among which the SPARQL 1.1 standard, (ii) federation of multiple heterogeneous and distributed data sources, and (iii) adaptability to various data manipulation use cases. KGRAM provides abstractions for both the query language and the data model, thus delivering unifying reasoning mechanisms. It is implemented as a modular software suite to ease architecting and deploying dedicated data manipulation platforms. Its design integrates optimization concerns to deliver high query performance. Both KGRAM's software versatility and performance are evaluated.
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Submitted on : Monday, October 29, 2012 - 4:13:27 PM
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Olivier Corby, Alban Gaignard, Catherine Faron Zucker, Johan Montagnat. KGRAM Versatile Inference and Query Engine for the Web of Linked Data. IEEE/WIC/ACM International Conference on Web Intelligence, Dec 2012, Macao, China. pp.1-8. ⟨hal-00746772⟩

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