PUBLIC MARKS with tag semtags

For the tags to be interoperable and meaningful across weblogs, one could start using 'http://www.wikipedia.org/wiki/' as the scheme

You've made a great API - MasheryTM makes it work. Let us make your web service offering successful by building a strong and active developer community while giving you complete control over how your API is used. We offer everything you need to get a world class API program up and running quickly and easily - and to scale it as it grows.

We are rolling out a new feature called "machine tags" that allows users to be more precise in how they tag, and how they search, their photos.

Users are great and smart and do cool stuff, you can’t stop them. Therefore it’s no surprise to see them constantly pushing things to the limit, and this is why we’re seeing the start of curious tagging methods.

tagspeak is the way in which ordinary people construct tags

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

Tags have taken the internet by storm. Where once the question was “what are they,” now all people want to know is whether a given site offers them. But what are the actual benefits of tags? What motivates millions of Flickr, del.icio.us and blog users to add tags to their photos and posts? And what is it about tags and tagging that gets information architects and user experience professionals so excited?

TagCommons is a place and a process for us to create ways to share and interoperate over tagging data. We believe that the world should have the benefits of rich social tagging across applications, communities, and spaces.

Ontologies are enabling technology for the Semantic Web. They are a means for people to state what they mean by formal terms used in data that they might generate or consume. Folksonomies are an emergent phenomenon of the social web. They are created as people associate terms with content that they generate or consume. Recently the two ideas have been put into opposition, as if they were right and left poles of a political spectrum. This piece is an attempt to shed some cool light on the subject, and to preview some new work that applies the two ideas together to enable an Internet ecology for folksonomies.

grâce à ce logiciel, on voit les prémices de la réponse à la question systématique : « comment les utilisateurs pourront-ils ajouter des renseignements sémantiques ? Avec un minimum d'organisation ? en utilisant RDF, sa complexité et sa syntaxe barbare ? Et surtout facilement ? » Réponse élémentaire, mes chers lecteurs : avec la syntaxe wiki.

J'ai déjà fait allusion à plusieurs reprises au vocabulaire RDF, SKOS (Simple knowledge organisation system) sur ce blog. Développé sous l'égide du W3C, il a pour but la modélisation et la mise à disposition selon le principe de RDF des thésaurus, taxonomies, glossaires et autres vocabulaires contrôlés. La mise en ligne des thésaurus existants au format RDF est fondamental dans le déploiement du Web sémantique, car cela permet d'associer à chaque concept une URI et ainsi de pouvoir y faire référence dans d'autres fichiers RDF.

Vogoo PHP LIB v1.6 is a free PHP LIB licensed under the terms of the GNU GPL. With Vogoo PHP LIB, you can easily and freely add professional collaborative filtering features to your Web Site.

This paper presents a database-driven approach to item-to-item collaborative filtering which is both easy to implement and can support a full range of applications.

Collaborative filtering (CF) is the method of making automatic predictions (filtering) about the interests of a user by collecting taste information from many users (collaborating)

The recommendation engine is responsible for analyzing ratings, determining who is neighbor to whom, and computing the predictions and recommendations. The CoFE is one such recommendation engine.

DBLens is a Oracle-based toolkit for performing collaborative filtering. DBLens is a collection of PL/SQL code and accompanying shell scripts that provides a flexible and efficient method for performing collaborative filtering.

Tags are not all the same, some are more similar than others. So, for example, the tag “September11″ and “GeorgeBush” have more links in common than “GeorgeBush” and “intelligence”.

tagopedia

The goal of this ontology is to model the relationship between an agent, an arbitrary resource, and one or more tags. This relationship is embodied in one or more taggings, which are temporal events associating the actors.

You *can* build some semantics using just WikiNames.