What Do RDF and SPARQL bring to Big Data Projects?

Abstract

Big DataVol. 1, No. 1 Original ArticlesWhat Do RDF and SPARQL bring to Big Data Projects?Bob DuCharmeBob DuCharmeSearch for more papers by this authorPublished Online:13 Feb 2013https://doi.org/10.1089/big.2012.0004AboutSectionsView articleView Full TextPDF/EPUB ToolsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetailsCited byBig Data Organization Challenge5 June 2022The LRA Workbench: an IDE for efficient REST API composition through linked metadata14 September 2021 | Journal of Big Data, Vol. 8, No. 1Ontological Formalisation of Mathematical Equations for Phenomic Data Exploitation21 July 2021The Importance of Big Data Metadata in Crisis ManagementKnowledge-Oriented Tool Complex Processing Databases of Scientific Publications1 December 2020 | Control Systems and Computers, No. 5 (289)An SQL Domain Ontology Learning for Analyzing Hierarchies of Structures in Pre-Learning Assessment Agents13 October 2020 | SN Computer Science, Vol. 1, No. 6Some Features of the Construction of Ontological Domain Models1 July 2019 | Control Systems and Computers, No. 3 (281)Semantics-based sensitive topic diffusion detection framework towards privacy aware online social networks1 March 2018 | Cluster Computing, Vol. 22, No. S1RegenBase: a knowledge base of spinal cord injury biology for translational research7 April 2016 | Database, Vol. 2016An Overview of Cloud Computing and Deployment of Big Data Analytics in the Cloud1 March 2014 | International Journal of Scientific Research in Science, Engineering and Technology Volume 1Issue 1Mar 2013 InformationCopyright 2013, Mary Ann Liebert, Inc.To cite this article:Bob DuCharme.What Do RDF and SPARQL bring to Big Data Projects?.Big Data.Mar 2013.38-41.http://doi.org/10.1089/big.2012.0004Published in Volume: 1 Issue 1: February 13, 2013PDF download