Background DBpedia and Wikidata currently focus primarily on representing factual knowledge as contained in Wikipedia infoboxes. A vast amount of information, however, is contained in the unstructured Wikipedia article texts. With the DBpedia Open Text Extraction Challenge, we aim to spur knowledge extraction from Wikipedia article texts in order to dramatically broaden and deepen the amount of structured DBpedia/Wikipedia data and provide a platform for benchmarking various extraction tools. Mission
Wikipedia has become the ubiquitous source of knowledge for the world enabling humans to lookup definitions, quickly become familiar with new topics, read up background infos for news event and many more - even settling coffee house arguments via a quick mobile research. The mission of DBpedia in general is to harvest Wikipedia’s knowledge, refine and structure it and then disseminate it on the web - in a free and open manner - for IT users and businesses. http://wiki.dbpedia.org/textext -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/13c21d3b-7965-497f-a5f7-9525956f7377%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
