OpenCalais is making a dent in use of semantic technology to extract entities and topics from text.
"In a nutshell, OpenCalais uses semantic technology and natural language processing to analyze text and add metadata by drawing out entities from documents, blog posts, news stories, etc. In some cases, ths type of data can identify or help identify relationships between people, businesses, etc."
This post gives an example of what it can do, and points to the OpenCalais viewerbox where we can try it for ourselves - take a substantial story from an online news site and see the types of data that Calais can extract and organize.
Explore to see the power of the tool. Will we need taxonomies if we have tools like OpenCalais?
Further, we can have this at our fingertips for content we follow with Feedly, a Firefox plugin.
Feed(ly)ing The Enterprise, by Jennifer Zaino, Semantic Web (Nov 9)
"For one thing, it’s the semantic technology embedded within Feedly, which uses the OpenCalais web service to get a clean representation of metadata behind content. That gives power to enterprise users such as marketing professionals, who might be subscribed to various blogs and feeds and services and different content that’s relevant to their brand."
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