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Find Concept By Name
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Use Case: Find Concept By Name

Actors

Primary Actor
Taxonomist, systematist or expert ecologist

Description

The user would like to find the set of all taxa possibly related to a taxon -for which they only give the name. This tool would be useful to systematists during their initial exploratory phase of studying a particular taxon. They are intersted in the taxon concept in the widest sense and want to ensure that they consider all possible taxon concepts in their study. Therefore they want anything that might be what they are interested in, not just things that are exactly (or nearly) the same concept.

Flow of Events

Pre-conditions

  • none

Basic Flow

  1. The user enters the name of the taxon of interest
  2. SEEK returns all possible "synonyms" and "homonyms" in xML format to the user for consideration. Need a mechanism to limit the depth of the synonym search (i.e., how far you go in the synonym of synonym of synonym...)

Post-conditions

None

Alternative Flows

Further Details

Non-functional Requirements

None

Issues

Need to have some way of indentifying concepts across SEEK so that users can request them easily - say if they select a sub-set form a return set they may want more info on these and should be able to query with the set of identifiers.

History

30 Jan 2003
(group) Entry created at meeting
29 April
(JK) Extended entry


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This page last changed on 30-Jun-2004 09:55:28 PDT by LTER.stekell.


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