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KRSMSAHM Dec 2006 Breakout Notes
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Difference between version 2 and version 1:

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+ * domain extension mining
+ ** demo of keyword and co-occurrence mining from corpus (eml text, textbook, papers)
+ ** how generate from this information or extend approach to construct domain extensions
+ *** visualize, summarize the data (in particular, a matrix of terms and their co-occurrence weight)
+ *** LTER controlled vocabulary as a starting point
+ *** obtain verb and adjective lists for keywords
+ *** explore how verb phrase can be used to name the relations between entities/characteristics
+ *** incorporate definitions from dictionary, wordnet, or glossaries for each entity
+ *** pre-classify the entities into classes based on part-of-speech tags
+ *** use look-up tables from common classes (measurement units, etc.)
+ *** profiling the data sources into various domains
+

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This material is based upon work supported by the National Science Foundation under award 0225676. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).

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Long Term Ecological Research Network, UNM National Center for Ecological Analysis and Synthesis, UCSB Biodiversity Research Center, KU San Diego Supercomputer Center, UCSD
 
Arizona State University Napier University University of North Carolina University of Vermont
 
UC Davis Genome Center

Copyright 2004 Partnership for Biodiversity Informatics, University of New Mexico, The Regents of the University of California, and University of Kansas