Live linked data: synchronising semantic stores with commutative replicated data types Online publication date: Tue, 14-Oct-2014
by Luis-Daniel Ibáñez; Hala Skaf-Molli; Pascal Molli; Olivier Corby
International Journal of Metadata, Semantics and Ontologies (IJMSO), Vol. 8, No. 2, 2013
Abstract: Linked Data is currently interconnecting information on the web, creating the web of data. It allows data consumers to combine different data sets and perform powerful queries. However, this means either to copy data sets locally or perform distributed querying. Local copies have problems of freshness, distributed queries, of scalability and performance. Linked Data producers are currently going live by providing streams of data updates, opening a third way to query: synchronise and search. Each Linked Data node can follow update streams of others, creating a social network of live updates: the Live Linked Data (LLD). Unfortunately, synchronising data among autonomous participants raises issues of concurrency and consistency. In this paper, we propose SU-Set, a Commutative Replicated Data Type (CRDT) for RDF graph updated with SPARQL Update 1.1. We describe how a semantic store can use SU-Set to ensure eventual consistency in LLD, with a low overhead in time, space and communication.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Metadata, Semantics and Ontologies (IJMSO):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook