Difference between revisions of "Open Calais"

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''[http://www.opencalais.com/ Open Calais]'' from [Reuters http://www.reuters.com] is a web service that  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’). The metadata results are stored centrally and returned as  [[RDF]] constructs.
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''[http://www.opencalais.com/ Open Calais]'' from [http://www.reuters.com Reuters] is a web service that  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’). The metadata results are stored centrally and returned as  [[RDF]] constructs.

Latest revision as of 14:33, 2 February 2010

Open Calais

Name of the tool: Open Calais
Home page: http://www.opencalais.com/
Date of latest release:
Programming language(s) that can be used with the tool:
Relevant semantic web technologies: RDF
Categories: RDF Generator, Tagging
See also:
Public mailing list:
Preferred project URI:
DOAP reference:
Company or institution: Thomson Reuters

(Tool description last modified on 2010-02-2.)

Description

Open Calais from Reuters is a web service that 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’). The metadata results are stored centrally and returned as RDF constructs.