Real-time data aggregation in distributed enterprise social platforms

Abstract

The widespread use of social platforms in contemporary organizations leads to the generation of large amount of content shared through various social tools. This information is distributed and often unstructured, making it difficult to fully exploit its value in enterprise context. While Semantic Web technologies allow for publishing meaningful and structured data, major challenges include: (1) real-time integration of distributed social data, and (2) content personalization to identify relevant pieces of information and present them to users to limit the information overload. This research in progress paper draws from an enterprise use case and discussed practices in real-time integration of social data in distributed social platforms. We propose to combine Semantic Web technologies with standardized transport protocols to provide efficient and open source layer for aggregation of distributed social data in an enterprise. We also show how our component can facilitate development of personalised social platforms. © IFIP International Federation for Information Processing 2013.