Traversing the Linking Open Data Cloud to Create News from Tweets

作者: Francisco Berrizbeita , Maria-Esther Vidal

DOI: 10.1007/978-3-662-45550-0_48

关键词:

摘要: We propose a two-fold approach that is able to both consume and exploit semantics encoded in the Linking Open Data LOD cloud, create news document events reported micro-blogging posts correspond documentary tweets. A tweet similar newspaper headline reports an incident or event. Knowledge extracted from tweets are used develop story line which will be augmented with RDF facts consumed cloud. The resulting content represented using rNews Ontology, facilitating generation retrieval. study effectiveness of our respect gold standard manually tagged Initial experimental results suggest techniques generate reflects up 76.38% terms.

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