PUBLIC MARKS with tag dbpedia

dbrec is a new kind of recommender system, entirely based on Semantic Web and Linked Data technologies, providing recommendations for 39,000 artists from DBpedia (and consequently from Wikipedia) based on the relationships that they hold together, either directly (e.g. having played together) or indirectly (e.g. playing the same genre, sharing a common record label or even being associated in a particular cultural movement).

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!

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?

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