z-logo
open-access-imgOpen Access
Distributed Collaboration on RDF Datasets Using Git
Author(s) -
Natanael Arndt,
Norman Radtke,
Michael Martin
Publication year - 2016
Publication title -
qucosa (saxon state and university library dresden)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2993318.2993328
Subject(s) - sparql , rdf , computer science , merge (version control) , rdf schema , linked data , information retrieval , named graph , semantic web , world wide web
Collaboration is one of the most important topics regarding the evolution of the World Wide Web and thus also for the Web of Data. In scenarios of distributed collaboration on datasets it is necessary to provide support for multiple different versions of datasets to exist simultaneously, while also providing support for merging diverged datasets. In this paper we present an approach that uses SPARQL 1.1 in combination with the version control system Git, that creates commits for all changes applied to an RDF dataset containing multiple named graphs. Further the operations provided by Git are used to distribute the commits among collaborators and merge diverged versions of the dataset. We show the advantages of (public) Git repositories for RDF datasets and how this represents a way to collaborate on RDF data and consume it. With SPARQL 1.1 and Git in combination, users are given several opportunities to participate in the evolution of RDF data.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom