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
Scientific Publications
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Abstract
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.
Information
| 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://univ-soukahras.dz/en/publication/article/1247 |
BibTex
@inproceedings{uniusa1247,
title={Towards Social Collaborative Editing of Distributed Linked Data},
author={Hafed ZARZOUR, Mahmoud Al-Ayyoub and Yaser Jararweh},
year={2018},
booktitle={IEEE 9th International Conference on Information and Communication Systems (ICICS)}
}
title={Towards Social Collaborative Editing of Distributed Linked Data},
author={Hafed ZARZOUR, Mahmoud Al-Ayyoub and Yaser Jararweh},
year={2018},
booktitle={IEEE 9th International Conference on Information and Communication Systems (ICICS)}
}