Slides presented on the Euler/X toolkit at the "Understanding Taxon Ranges in Space and Time" Workshop – Berkeley Initiative in Global Change Biology (BIGCB); held on November 07-09, 2014, University of California at Berkeley, CA. See also http://taxonbytes.org/bigcb-workshop-at-uc-berkeley-tackling-the-taxon-concept-problem/
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Franz 2014 BIGCB Tracking Change across Classifications and Phylogenies
1. Tracking taxonomic change
across classifications
and phylogenies
Nico M. Franz 1,2
Arizona State University
http://taxonbytes.org/
1 Concepts and tools developed jointly with members of the Ludäscher Lab (UC Davis & UIUC):
Mingmin Chen, Parisa Kianmajd, Shizhuo Yu, Shawn Bowers & Bertram Ludäscher
2 Understanding Taxon Ranges in Space and Time
Workshop – Berkeley Initiative in Global Change Biology (BIGCB)
November 07-09, 2014, University of California at Berkeley, CA
On-line @ http://www.slideshare.net/taxonbytes/franz-2014-bigcb-tracking-change-across-classifications-and-phylogenies
2. "A toolkit for consistently aligning
sets of hierarchically arranged entities
under (relaxable) logic constraints,
and using RCC-5 articulations."
3. Euler/X uses Answer Set Programming.
The reasoner asks, and solves, the question:
"Which possible worlds can be generated
that satisfy (i.e., are consistent with)
a given set of input constraints?"
4. Toolkit workflow. Objective: achieving well-specified alignments.
Set of Input Constraints
T1 = Taxonomy 1
T2 = Taxonomy 2
A = Input articulations
[==, >, <, ><, |]
C = Taxonomic constraints
5. Toolkit workflow. Objective: achieving well-specified alignments.
Set of Input Constraints
T1 = Taxonomy 1
T2 = Taxonomy 2
A = Input articulations
[==, >, <, ><, |]
C = Taxonomic constraints
Articulations are asserted
by human toolkit users.
6. Toolkit workflow. Objective: achieving well-specified alignments.
No!
Set of Input Constraints
T1 = Taxonomy 1
T2 = Taxonomy 2
A = Input articulations
[==, >, <, ><, |]
C = Taxonomic constraints
7. Toolkit workflow. Objective: achieving well-specified alignments.
No!
Set of Input Constraints
T1 = Taxonomy 1
T2 = Taxonomy 2
A = Input articulations
[==, >, <, ><, |]
C = Taxonomic constraints
8. Toolkit workflow. Objective: achieving well-specified alignments.
No!
Yes
Set of Input Constraints
T1 = Taxonomy 1
T2 = Taxonomy 2
A = Input articulations
[==, >, <, ><, |]
C = Taxonomic constraints
10. Toolkit workflow. Objective: achieving well-specified alignments.
MIR =
Maximally Informative Relations
[==, >, <, ><, |]
for each concept pair
Yes
Yes
11. So, given an input set of [T1, T2, A, C], one gains:
(1) Logical consistency in the alignment;
(2) Intended degree of alignment resolution;
(3) Additional, logically implied articulations;
(4) Visualizations of taxonomic provenance;
(5) Quantifications of name/meaning relations.
12. Use case: dwarf lemurs sec. MSW 1993 & 2005 1
Chirogaleus furcifer sec. Mühel (1890) – Brehms Tierleben.
Public Domain: http://books.google.com/books?id=sDgQAQAAMAAJ
1 Franz et al. 2014. Taxonomic provenance: Two influential primate classifications logically aligned. (unpublished)