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Towards Social Collaborative Editing of Distributed Linked Data

www.univ-soukahras.dz/en/publication/article/1247

Hafed ZARZOUR, Mahmoud Al-Ayyoub and Yaser Jararweh (2018) Towards Social Collaborative Editing of Distributed Linked Data. IEEE 9th International Conference on Information and Communication Systems (ICICS) , Irbid, Jordan

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Recently, an increased number of organizations and institutions publish and expose the contents of their data as Linked Data where it becomes possible to share, reuse and link data over geographically-dispersed datasets. However, the existing principles of Linked Data do not suffice when collaboratively editing the same distributed Linked Data stores, more precisely, executing concurrent modifications in a social collaborative context. This paper adopts the optimistic replication purpose to develop a new approach that allows distant users to edit the same distributed Linked Data concurrently without using a central synchronization mechanism. The experimental results on real Linked Data stores demonstrate the effectiveness of the proposed approach in terms of execution time.

Item Type:	Conference
Divisions:	» Laboratory of Computer Science and Mathematics » Faculty of Science and Technology
ePrint ID:	1247
Date Deposited:	2018-05-12
Further Information:	Google Scholar
URI:	https://www.univ-soukahras.dz/en/publication/article/1247