p2pCoSU: A P2P Sparql/update for collaborative authoring of triple-stores

Abstract

An important topic within Computer Supported Collaborative Work is collaborative editing or authoring system, which has been an interesting research area by the release of Web 2.0 products including Social Networks, Wikipedia, CMS, Google Docs, Blogs and many, many more. SPARQL/UPDATE is emerging as a reaction to this challenge. However, the current standard allows only a single authoring of triple-stores and does not provide transparent mechanism to support collaborative authoring. Furthermore, maintaining consistency between distributed triple-stores executing concurrent operations is a difficult problem. To solve this problem, this paper proposes a novel p2pCoSU solution that supports collaborative authoring for P2P semantic triple-stores and ensures causality, consistency and intention preservation criteria. We evaluate and compare the performance of the proposed p2pCoSU and related approaches by simulation; the results show that our solution is efficient and scalable.