Java interface to the OpenCalais API, using the REST API invocation and JSON outputFormat for low overhead.

Philippe Adjiman has created this high-quality video tutorial that demonstrates how to make calls to OpenCalais from Java code. In only four minutes you can see how to make those calls.

This Alfresco server extension leverages the Open Calais service to automatically extract semantic metadata from documents stored in Alfresco, has a semantic auto-tagging action service, tag suggest api, and has a recently added Alfresco Share UI extension. Tags include linked data URIs, and provide geo-location info if available from Calais. Extracted RDF and/or JSON can be optionally associated with documents. Provides a REST api. Also adds an auto-tagging action to the Alfresco web client. The service is implemented in Java (and REST api webs scripts in server side JavaScript). Developed by Alexander Polev (One Point Consulting Limited) and Steve Reiner (Integrated Semantics). Also see FlexSpaces RIA clients for Alfresco (from Integrated Semantics), in the Calais gallery.

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.

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

The following code shows you how to extend your existing code to process the new relevance information in Calais RDF output. The attached zip file has the changed code of the JSON Java package, which includes relevance information in the full JSON representation.

The method that parses the relevance information is shown below (taken from com.clearforest.calais.full.CalaisJSONIf in the attached zip file).