This article grew out of a session at the SLA Conference in 2010. Libby Trudell at Dialog and Suzanne BeDell at Elsevier have a breadth of knowledge and experience with methods to aid in information retrieval. They ask - "Do taxonomies still add value when keyword searching seems sufficient to many end users? "
On the scene are
1. semantic technologies for extracting meaning.
2. data mining and analytics
3. natural language and entity extraction (names, places)
"Steps for NLP involve recognizing parts of speech, taking into account contextual information such as proximity. Increasingly, this relationship information is captured as a Resource Description Framework (RDF) triple. RDFs extend the linking structure of the web to use universal resource indicators (URIs) to name the relationship between things as well as the two ends of the link. Yahoo! and Google now include triples in their indexing. "
Collectively these are done better when combined with controlled vocabularies. An "ontology spectrum graphic" is mentioned that would make everything clearer, but it's not included in this free web version of the article.
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