PUBLIC MARKS with tags tag & sémantique

Get your thoughts together Looking for some inspiration? Tell us what you're thinking about, then explore a host of connected ideas from the growing Primal Fusion thought network. When you see ideas that you like, save them into your own personal thought networks. Organize and tag your thoughts to express their meanings more precisely. Then use your thought networks to take action and get stuff done — online, offline, and with other people.

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.

MOAT permet d'associer à un tag une URI. Une description de la notion du tag encodée en RDF est associée à cette URI. Ainsi, le tag n'est plus seulement une chaîne de caractères, mais possède un véritable sens donné par l'ensemble des triples RDF

MOAT (Meaning Of A Tag) provides a Semantic Web framework to publish semantically-annotated content from free-tagging. While tags are widely used in Web 2.0 services, their lack of machine-understandable meaning can be a problem for information retrieval, especially when people use tags that can have different meanings depending on the context. MOAT aims to solve this by providing a way for users to define meaning(s) of their tag(s) using URIs of Semantic Web resources (such as URIs from dbpedia, geonames … or any knowledge base), and then annotate content with those URIs rather than free-text tags, leveraging content into Semantic Web, by linking data together. Moreover, tag meanings can be shared between people, providing an architecture of participation to define and exchange potential meanings of tags within a community of users. To achieve this goal, MOAT relies on an architecture that can be deployed for any organisation or community and that involves a lightweight ontology, a MOAT server, and some third-party clients .

Quelques réflexions sur les tags, le "Web 2.0" et le Web sémantique...

relatif aux contenus audio-visuels

Ontologie et terminiologie l'un pour les machine l'autre pour les humains, comment faire cohabilter ces deux modes de représentation de connaissances.

Une artcile qui recence les diverses méthodes d'organisation de l'information