The paper describes the approach, methodology and main software components of an Adaptive Semantic Publishing Platform for digital medias; applied previously to numerous use cases and publishers like the BBC, EuroMoney and Press Association. The semantic publishing relies on the interaction among the common sense model in ontologies, the world knowledge in Linked Open Data (LOD), the named enti...

The term Big Data refers to the massive amount of structured, unstructured and semi-structured data that are so large and unwieldy the regular database management tools or statistics tools have difficulty among capturing, analysis, storing, sharing, visualize and managing the information. Big Data includes e-mail messages, snaps, business deals, surveillance video recordings, posts of social me...

The amount of user generated contents from various social medias allows analyst to handle a wide view of conversations on several topics related to their business. Nevertheless keeping upto-date with this amount of information is not humanly feasible. Automatic Summarization then provides an interesting mean to digest the dynamics and the mass volume of contents. In this paper, we address the i...