Adaptive semantic publishing
Georgi Georgiev, Borislav Popov, Petya Osenova, Marin Dimitrov · 2013
Abstract. 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, Euro-Money 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 entity categorization and the set of domainspecific keywords. Hence, the contribution of the related LOD datasets is briefly considered. The adaptive publishing relies on the user’s requirements (interests, searches, activities) provided as summaries of articles on selected topics (sports, politics, society, etc.). Also, approaches to gold standard data are presented, which enable the fast and high quality clusterization of numerous information streams per topic.