KES: The knowledge explorer system

Abstract

Generally, to properly perform information extraction from multimedia content, it is necessary to not only understand the media but also how they correlate with each other in time and space to compose the multimedia data. After extracting this information, it is necessary to structure and align it with ontologies and RDF repositories such as dbpedia.org to enhance quality of question answering and information retrieval. The main goal of this demo is to present a system named KES, capable of handling this scenario where a hybrid knowledge representation comes in handy. KES supports exploring and curating such representations stored in graph databases.