Skip to main navigation Skip to search Skip to main content

Towards social collaborative editing of distributed linked data

  • University of Souk Ahras Mohamed Chérif Messaadia
  • Jordan University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publication2018 9th International Conference on Information and Communication Systems, ICICS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages90-95
Number of pages6
ISBN (Electronic)9781538643662
DOIs
StatePublished - 4 May 2018
Externally publishedYes
Event9th International Conference on Information and Communication Systems, ICICS 2018 - Irbid, Jordan
Duration: 3 Apr 20185 Apr 2018

Publication series

Name2018 9th International Conference on Information and Communication Systems, ICICS 2018
Volume2018-January

Conference

Conference9th International Conference on Information and Communication Systems, ICICS 2018
Country/TerritoryJordan
CityIrbid
Period3/04/185/04/18

Keywords

  • Linked Data
  • collaborative editing
  • distributed system
  • optimistic replication
  • semantic web

Fingerprint

Dive into the research topics of 'Towards social collaborative editing of distributed linked data'. Together they form a unique fingerprint.

Cite this