Group items tagged

Drigger is built by squeezing news through OpenCalais. OpenCalais is kindly provided by Reuters. Drigger is only something like a proof-of-concept. The news sources this site analyzes are more or less picked by accident. This site uses Pylons, with mighty SQLAlchemy and fine Mako Templates. RDF is handled with the RDFLib.

newsfacet.com started out as a way to learn google app engine. It takes the most recent articles from a variety of sources, uses OpenCalais to analyze the text and then provides a faceted browser type view of the data using Simile Exhibit. It now uses a number of technologies.

Document Cloud is a platform that is primarily meant to be used by journalists who are reporting on (or publishing) primary source documents. They will be able to have their documents run through OpenCalais, and get comprehensive information on all the places, people and organizations that are mentioned in the document. Plus, Document Cloud can look at all the dates that are mentioned on the original text, have them plotted on a timeline, and let them know about documents that are related to what they have written. 

The Calais web service automatically attaches rich semantic metadata to the content you submit. Using natural language processing, machine learning and other methods, Calais categorizes and links your document with entities (people, places, organizations, etc.), facts (person "x" works for company "y"), and events (person "z" was appointed chairman of company "y" on date "x"

Calais: Connect. Everything. We want to make all the world's content more accessible, interoperable and valuable. Some call it Web 2.0, Web 3.0, the Semantic Web or the Giant Global Graph - we call our piece of it Calais. Calais is a rapidly growing toolkit of capabilities that allow you to readily incorporate state-of-the-art semantic functionality within your blog, content management system, website or application.