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Understanding the OpenCalais RDF Response « 3kbo
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Understanding the OpenCalais RDF Response
I’m using an XML version of an article published by Scoop in February 2000, Senior UN Officials Protest UN Sanctions On Iraq , to understand the OpenCalais RDF response as part of a larger project of linking extracted entities to existing Linked Data datasets .
OpenCalais uses natural language processing (NLP) , machine learning and other methods to analyze content and return the entities it finds, such as the cities, countries and people with dereferenceable Linked Data style URIs . The entity types are defined in the OpenCalais RDF Schemas .
When I submit the content to the OpenCalais REST web service (using the default RDF response format ) an RDF document is returned. Opened below with TopBraid Composer a portion of the input content and some of the entity types OpenCalais can detect is shown. The numbers in brackets indicate how many instances of an entity type have been detected, for example cle.Person(13) indicates that thirteen people ...
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François Dongier added to Linked Data, Web 3.0 - Semantic Web, semantic tagging 2 weeks ago
François Dongier
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