Matches in Nanopublications for { ?s ?p ?o <http://purl.org/np/RA9ZhHnWGMMWKMZIbfiGXw5h8MQnUx9BBu2-2YeZ1771Q#assertion>. }
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- paragraph type Paragraph assertion.
- paragraph hasContent "On the other hand, the DBpedia E XTRACTION F RAMEWORK 7 is pretty much mature when dealing with Wikipedia semi-structured content like infoboxes, links and categories. Nevertheless, unstructured content (typically text) plays the most crucial role, due to the potential amount of extra knowledge it can deliver: to the best of our understanding, no efforts have been carried out to integrate an unstructured data extractor into the framework. For instance, given the Germany football team article, 8 we aim at extracting a set of meaningful facts and structure them in machine-readable statements. The sentence In Euro 1992, Germany reached the final, but lost 0–2 to Denmark would produce a list of triples, such as: (Germany, defeat, Denmark) (defeat, score, 0–2) (defeat, winner, Denmark) (defeat, competition, Euro 1992)" assertion.