Abstract
The FP7 Multisensor project analyzes and extracts data from mass- and social media documents, including text, images and video, across several languages. It uses a number of ontologies for representing that data: NIF and OLIA for linguistic info, ITSRDF for NER, DBpedia and Babelnet for entities and concepts, MARL for sentiment, OA for image and cross-article annotations, etc. We'll present how all these ontologies fit together, and some innovations like embedding FrameNet in NIF.
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