Approaches for Real-Time Integration of Semantic Web Data in Distributed Enterprise Systems

Abstract

The widespread use of social platforms in contemporary organizations leads to the generation of large amount of content shared through various social tools. While Semantic Web technologies provide data integration capabilities the two major remaining challenges include real-time integration of social data and limit the information overload experienced by the knowledge workers through content personalization. This paper focuses on the former and presents a comparison of current practices in real-time integration of RDF data and their performance. We give an overview of popular architectural approaches and existing RDF update formats used for modeling changes in RDF data.