PUBLIC MARKS from "Xavier Lacot" with tags "linked data" & "semantic web"

Nantes ouvre ses données, une superbe initiative que la plupart des villes devraient suivre ! Très bonen idée !

The City of San Francisco too, decided to publish several Datasets. DataSF is a central clearinghouse for datasets published by the City & County of San Francisco. The site allows to find datasets in several ways: general search, tags/keywords, categories, and rating. The goal is to improve access to city data through open machine-readable formats. Anyway, there does not seem to be any SPARQL endpoint or any other semantic expression of the exposed datasets... Maybe in a future iteration?

A step-by-step guide which covers all the required steps before publishing data on the Web in a semantic way

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).

Tim Berners-Lee's talk at TED 2009 conference slides, about Linked Data.

There is already a lot of structured data accessible on the Web through Web 2.0 APIs such as the eBay, Amazon, Yahoo, and Google Base APIs. Compared to these APIs, Linked Data has the advantage of providing a single, standardized access mechanism instead of relying on diverse interfaces and result formats.