Discovery hub: a discovery engine on the top of DBpedia

This paper supports the Discovery Hub demonstration proposal. Web growth, both in size and diversity, and users' growing expectations increase the need for innovative search approaches and technologies. Exploratory search systems are built specifically to help user in cognitive consuming search tasks like learning or investigation. Some of these systems are built on the top of linked data and use its semantic richness to provide cognitively-optimized search experiences. This paper presents the Discovery Hub operational prototype after detailing its Semantic Spreading Activation (SSA) algorithm. This latter processes linked data in on-the-fly and does not require partial or total results pre-processing. This on-the-fly processing offers advantages when addressing evolving linked data datasets and querying flexibility.