RDF data management for Web2.0 applications

Emerging applications such as Web 2.0 and linked data has significantly contributed to the volume of data on the Web. Web 2.0 applications are dynamic in nature, and require frequent and real time update. However, substantial progress in the management of RDF data is focusing on speeding up query processing on the so called static data, such as the linked data. Approaches that are focusing on the static data tend to implement heavy indexing or decomposed techniques that cause updating to be inefficient. Among the RDF store implementations, the big triple table appears to be a robust approach that can be further explored. This paper aims to increase the understanding of the different approaches used in managing the RDF data and discussing the issues in managing Web 2.0 based applications, in order to realize the semantic web vision.