KEA is an algorithm for extracting keyphrases from text documents. It can be either used for free indexing or for indexing with a controlled vocabulary.
In an attempt to summarize the relationship among various metadata formats and how they relate to building Internet systems I wrote a glossary. I then ordered and tied the terms together with a bit of narrative to explain the relationships among the terms
Clarity regarding controlled vocabularies, taxonomies, thesauri, ontologies, and metamodels. With all the scuttlebut going around about folksonomies and tagging, these are important terms to understand. In the process of tagging, it's pretty noticeable
wOW! Search on 'metabolic AND syndrome' came up at zero, but shifting to 'metabolic,' I got SKILLIONS of articles related to "metabolic syndrome." GOOD ones!
wOW! Search on 'metabolic AND syndrome' came up at zero, but shifting to 'metabolic,' I got SKILLIONS of articles related to "metabolic syndrome." GOOD ones!
P. Heymann, и H. Garcia-Molina. Second ACM International Conference on Web Search and Data Mining (WSDM 2009), Late Breaking Results Session, стр. 1--4. Stanford InfoLab, (февраля 2009)
P. Heymann, A. Paepcke, и H. Garcia-Molina. Third ACM International Conference on Web Search and Data Mining (WSDM2010), стр. 1--10. Stanford University, (февраля 2010)
P. Royle, и N. Waugh. BMC medical research methodology, (июля 2005)LR: 20061115; PUBM: Electronic; DEP: 20050723; JID: 100968545; 2005/02/05 received; 2005/07/23 accepted; 2005/07/23 aheadofprint; epublish.