KGRAM Versatile Inference and Query Engine for the Web of Linked Data - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

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

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.
Fichier principal
Vignette du fichier
wi12.pdf (365.49 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-00746772 , version 1 (29-10-2012)

Identifiers

  • HAL Id : hal-00746772 , version 1

Cite

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⟩
294 View
309 Download

Share

Gmail Mastodon Facebook X LinkedIn More