Abstract
Written texts have perhaps never been so widely used as they are in today's social media context, with people constantly writing, sharing, commenting, getting involved. At the same time, Linked Data is emerging as an increasingly important topic, and research in this area has resulted in massive amounts of structured linguistic data. In this climate, we intend to analyze how linked data can help to structure and extract meaning from social media's short, informal and context dependent texts, with an emphasis on real-life applications.
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