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Text Mining for Meaning

Many are pointing to the emergence of a Web 3.0 that brings together Web 2.0 collaborative qualities with a semantic web of connections and semantic tools for understanding.
Nstein, the digital publishing technologies company, held a webinar titledFrom Metadata to Meaning: Intelligence in the Semantic Era on June 25, 2009, moderated by Diane Burley.

Seth Grimes of Alta Plana presented the case of an exploding digital universe where individuals are creating 70% of the content. Search based on keyword matching won’t be sufficient. The next generation of tools must make sense of the data to deliver meaningful answers. Text mining combined with semantic analysis is one direction. Google has some new capability at picking out data and its context – eg the employment data for a US state.Newssift from the Financial Times shows more capability at identifying organizations, places, people and topical themes in its aggregation of news. Grimes noted that semantically enriched content, linked data, context sensitivity, and location awareness are now recurring themes. Text mining / analytics is enabling Web 3.0 and the Semantic Web.

Continues @ http://taxonomy2watch.blogspot.com

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