Abstract—In this paper we present CIA-Store, a new conflict-free replicated data type for scalable collaborative annotating distributed image stores based on Open Annotation Collaboration technologies. This approach aims to reduce the limitations of the traditional collaborative image annotation systems by providing a framework that enables multiple users to perform simultaneous concurrent annotations on shared image files and also provide eventual consistency paradigm. To evaluate the performance of our solution, we ran a series of experiments based on collaborative image annotation traces; the results show that CIA-Store is efficient and scalable.

Index Terms—collaborative image annotation, semantic web, open annotation collaboration, consistency, CRDT, concurrent annotation

Cite: Hafed Zarzour and Mokhtar Sellami, "Efficient Eventual Consistency in Collaborative Image Annotation Framework," Vol. 6, No. 1, pp. 9-17, February, 2015. doi:10.12720/jait.6.1.9-17