The Powerhouse Museum is using Calais to automatically generate tags for items in their extensive collection. For a quick example take a look at this description of a surveying instrument. The tags generated by Calais are allowing curators and others to find previously invisible connections within their collections.

WordPress Calais Auto Tagger and Archive Tagger - Dan Grossman has developed a very nice WordPress plugin that automatically tags posts as you write them, and another that does the same for your archived posts. While the Calais tagging results are never going to be 100% on target, this is a great tool for improving the searchability of your historical posts in minutes.

TopBraid has taken the fantastic step of directly integrating Calais within their TopBraid Composer. This allows users to create complex scripts that directly incorporate Calais functionality.

LinkedFacts.com is a very interesting demonstration of a semantically powered news search application.

RSSTagger is a very interesting demonstration that allows you to ingest any RSS feed, tag it using Calais, and embed those tags in the resulting feed. Combine this with Yahoo Pipes, some filtering and a good reader, and you have a pretty interesting capability.

Calais.NET is a .NET 3.5 project that provides a friendly API to the Calais web service. It greatly simplifies the call structure and provides easy to use lists of extracted entities.

Wirecatch.com is a semantic news aggregator and graph developed using the Calais Web Service. It takes the most popular stories from several news feeds and show the entities, facts, and events in an interactive Flash network graph. Currently in beta, they welcome feedback, suggestions, comments.
 

If you want to drill a little deeper into the RDF structure, the group at Salzburg Research has created a nice desktop RDF explorer called RDF-Gravity.

Avinoam has developed a Windows desktop application that allows you to paste text for analysis and see the results with one click. It's located here.

Calais.NET is a .NET 3.5 project that provides a friendly API to the Calais Web Service. Calais.NET provides Calais functionality to .NET applications.

A Ruby Interface to the Calais web service built by Abhay Kumar.

An extremely well-done tutorial on how to write a Java SOAP client to access the Calais web service.

A PHP Class for working with Calais by Dan Grossman.

PolyBuzz uses OpenCalais technology to automatically tag ALL content produced by blogs in each of our clusters regardless of whether it makes it to Polymeme.com or not. Thus, the tags you see under our Economics section, for example, are generated based on ALL posts written by the economics blogs that we track. 

GIST is pretty cool!

Created by Thomson Reuters Developer Todd Faulls, GIST leverages Reuters news provides a highly visual take on Reuters news, combining related stories, images, and video clips to quickly provide readers with a 360-degree view of context.

Steve Hanson has hashed together a web site to aggregate news coverage of the 2008 Democratic Convention. Using FeedAPI to aggregate coverage and Open Calais to tag entries, he has pulled together input from the 124 bloggers covering the convention. Steve is also going to the convention as the Wisconsin state blogger.

Interceder is a mashup, built using...

• Daylife to search through the latest news and display associated metadata such as tone analysis and favicons.
• Open Calais to create semantic metadata and enrich the latest news, video and photo results.
• Freebase to gather further content on the entities returned by Open Calais, such as images and links.
• Yahoo Pipes to pull in the latest stories on the top news sites and return the latest videos and photos for a given search term.

Ecovian is a web community for sharing green & sustainable living
information within major metropolitan regions. The site lets members
find eco-friendly local businesses & other local green living info,
rate businesses based on their greenness, share and discuss local environmental
news, discover nearby green events, and form groups with other members.

Feedzz it's a semantic feed aggregator. It crawls the most popular feeds (based on different categories), reading the post entries and auto-tagging the entries using OpenCalais. Once the user selects an entry, he/she can find out related entries using the semantic terms as connectors.The information is classified under topics, people and places.

Users can suscribe to existing feeds, submit new ones or upload OPML files. Search and semantic terms can be stored as shortcuts available in the profile page and by webmail.

Tradd.us is a free online translation service that combines the power of Google Translation Service and Open Calais to improve text translation and comprehension.

Open Calais is used to identify tags related to the text being translated, helping users to have a better understanding about what was translated and the context of the text.

Besides that Tradd.us can discover word synonyms, helping you understand, comprehend and assimilate new words.

We also show the best ranked sites and related terms based on the word or expression selected, in a quick and easy way!

Wandora is a general purpose knowledge extraction, management, and publishing application based on Java and Topic Maps. Wandora is capable to classify text fragments using tags provided by the OpenCalais. Wandora converts provided tags and classified texts to Topic Maps format enabling knowledge mashups for example. Wandora's license is GNU GPL.

I have written a small tutorial showing how to use features from the 3.1 release of the Calais service to geotag a text and display the identified locations on a map. The tutorial can be found on my web site and a running version of the demo application is here.

Thinkpedia is a new way to navigate and explore the contents of
Wikipedia. It is what we call a "Visual Wiki". Thinkpedia usesSemanticProxy in order to extract semantics out of Wikipedia articles, which are then
shown in an interactive visualization which is created with Thinkmap.
The visualization is displayed along with the Wikipedia article,
providing a focus plus context view. The thickness of the edges in the
visualized graph corresponds to the relevance of the connected items. A
range slider at the bottom of the application can be used to filter the