Link: http://arxiv.org/abs/1601.05270v1
Abstract: For many use cases it is not feasible to access RDF data in a truly federated fashion. For consistency, latency and performance reasons data needs to be replicated in order to be used locally. However, both a replica and its origin dataset undergo changes over time. The concept of co-evolution refers to mutual propagation of the changes between a replica and its origin dataset. The co-evolution process addresses synchronization and conflict resolution issues. In this article, we initially provide formal definitions of all the concepts required for realizing co-evolution of RDF datasets. Then, we propose a methodology to address the co-evolution of RDF datasets. We rely on a property-oriented approach for employing the most suitable strategy or functionality. This methodology was implemented and tested for a number of different scenarios. The result of our experimental study shows the performance and robustness aspect of this methodology.
