Faviki is a social bookmarking tool that lets you tag bookmarks using Wikipedia concepts as tags. Faviki lets you keep your own tags and connect them to common, universal concepts from the world's largest collection of knowledge!
DBPedia now in AWSThe DBpedia Knowledge Base currently describes more than 2.6 million things including 213,000 people, 328,000 places, 57,000 music albums, 36,000 films, and 20,000 companies. There are 274 million RDF triples in the 67 GB data set.
Cette page a vocation à rassembler toutes les expériences concernant les technologies du Web sémantique effectuées dans le cadre de mon blog les petites cases. Ces exemples n'ont aucune prétention autre que pédagogique et démonstratif. Leur pérennité n'est pas garantie.
The problem with both keywords and tags is that they are just words. But what would happen if, instead of words, we used objects? What if we used unique concepts that would always and everywhere have the same name and would refer to the specific object?
DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to make sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.
Faviki is a tool that brings together social bookmarking and Wikipedia. It lets you bookmark web pages using Wikipedia's terms. In Faviki, everybody uses the same names for tags from the world's largest collection of knowledge!
]]>
Faviki is a social bookmarking tool which allows you to tag webpages you want to remember with Wikipedia terms. This means that everybody uses the same names for tags from the world's largest collection of knowledge.
Ce deuxième screencast montre les opportunités du web sémantique via des exemples concrets issus du projet Linking Open Data. Ce projet est mené par le W3C, son objectif est de référencer les plus grandes sources de données sémantiques. Le projet le plus abouti de cette initiative est sans aucun doute dbpedia
Cette page rassemble une série d'exemples d'utilisation de DBpedia.org, qui propose les données de Wikipedia sous une forme structurée grâce à RDF
]]>
]]>
]]>