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Col-Graph: Towards Writable and Scalable Linked Open Data

Luis-Daniel Ibanez 1 Hala Skaf-Molli 1 Pascal Molli 1 Olivier Corby 2
1 GDD - Gestion de Données Distribuées [Nantes]
LINA - Laboratoire d'Informatique de Nantes Atlantique
2 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Linked Open Data faces severe issues of scalability, availability and data quality. these issues are observed by data consumers performing federated queries; SPARQL endpoints do not respond and results can be wrong or out-of-date. If a data consumer finds an error, how can she fix it? This raises the issue of the writability of Linked Data. In this paper, we devise aan extension of the federation of Linked Data to data consumers. A data consumer can make partial copies of different datasets and make them available through a SPARQL endpoint. A data consumer can update her local copy and share updates with data providers and consumers. Update sharing improves general data quality, and replicated data creates opportunities for federated query engines to improve availability. However, when updates occur in an uncontrolled way, consistency issues arise. In this paper, we define fragments as SPARQL CONSTRUCT queries and propose a correction criterion to maintain these fragments incrementally without reevaluating the query. We define a coordination free protocol based on the counting of triples derivations and provenance. We analyze the theoretical complexity of the protocol in time, space and traffic. Experimental results suggest the scalability of our approach.
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Submitted on : Saturday, November 8, 2014 - 11:27:29 AM
Last modification on : Thursday, January 20, 2022 - 5:28:14 PM
Long-term archiving on: : Monday, February 9, 2015 - 10:10:14 AM


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  • HAL Id : hal-01061493, version 1


Luis-Daniel Ibanez, Hala Skaf-Molli, Pascal Molli, Olivier Corby. Col-Graph: Towards Writable and Scalable Linked Open Data. ISWC - The 13th International Semantic Web Conference, Oct 2014, Riva del Garda, Italy. ⟨hal-01061493⟩



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