SrCE: a collaborative editing of scalable semantic stores on P2P networks

Abstract

Commutative Replicated Data Type CRDT is a convergence philosophy invented as a new generation of technique that ensures consistency maintenance of replica in collaborative editors without any difficulty over Peer-to-Peer P2P networks. This technique has been successfully applied to different data representation types in scalable collaborative editing for linear, tree document structure and semi-structured data types but not yet on set data type ensuring Causality, Consistency and Intention CCI preservation criteria. In this paper, we propose a srCE approach, a novel CRDT for a set structure to facilitate the collaborative and concurrent editing of Resource Description Framework RDF stores in large scale by different members of virtual community. Our approach ensures CCI model and is not tied to a specific case and therefore can be applied for any document that complies to set structure. A prototype implementation using Friend of a Friend FOAF data sets with and without the srCE model illustrates significant improvement in scalability and performance.