MorphBank

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• MorphBanks Approach to
• Determination Annotations

Austin Mast David Gaitros Fredrik Ronquist
Peter Jörgensen Corinne Jörgensen Greg
Riccardi
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Outline

• Acknowledgements
• The Motivation
• The System
• A Collaborative Environment
• Creating Collections
• Creating Annotations
• The User Trials
• Future Directions

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Acknowledgments

• PIs
• Fredrik Ronquist (Department of Biological
  Science, School of Computational Science)
• Greg Riccardi (College of Information)
• Austin Mast (Department of Biological Science)
• Greg Erickson (Department of Biological Science)
• Robert van Engelen (School of Computational
  Science)
• Corinne Jörgensen (College of Information)
• Peter Jörgensen (College of Information)
• Research Associates
• Andrew Deans (School of Computational Science)
• Gordan Erlebacher (School of Computational
  Science)
• Katja Seltmann (School of Computational Science)

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Acknowledgments

• Development Team
• David A. Gaitros, Project Director
• Wilfredo Blanco, Lead Analyst/Graphics
• Neelima Jammigumpula, Lead Analyst/Database
• Karolina Maneva-Jakimoska, Analyst/Java Dev.
• Steve Winner, Information Technology/Web Dev.
• Gabriel Logan, Analyst/Web Services
• Debbie Paul, Functional Analyst
• Stan Ustymenko, Graduate Assistant
• Wei Zhang, Graduate Assistant
• Ken Moriuchi, Graduate Assistant
• Cynthia Gaitros, Technical Writer

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Acknowledgments

• Sponsors

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Outline

• Acknowledgements
• The Motivation
• The System
• A Collaborative Environment
• Creating Collections
• Creating Annotations
• The User Trials
• Future Directions

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The Motivation
Humans have interpreted images for far longer
than we have interpreted vocabulary-rich
language.
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The Motivation
Humans have interpreted images for far longer
than we have interpreted vocabulary-rich
language. Describing patterns in nature often
requires a specialized vocabulary that might form
a barrier to communication even among colleagues
in the same Biology Department.
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The Motivation
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The Motivation
Humans have interpreted images for far longer
than we have interpreted vocabulary-rich
language. Describing patterns in nature often
requires a specialized vocabulary that might form
a barrier to communication even among colleagues
in the same Biology Department. Pictures often
have greater information content than the words
that we use to describe them (or the database
weve designed to describe them).
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The Motivation
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The Motivation
Humans have interpreted images for far longer
than we have interpreted vocabulary-rich
language. Describing patterns in nature often
requires a specialized vocabulary that might form
a barrier to communication even among colleagues
in the same Biology Department. Pictures often
have greater information content than the words
that we use to describe them (or the database
weve designed to describe them). Capturing
images digitally permits mathematical abstraction
and comparison of the patterns.
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The Motivation
Humans have interpreted images for far longer
than we have interpreted vocabulary-rich
language. Describing patterns in nature often
requires a specialized vocabulary that might form
a barrier to communication even among colleagues
in the same Biology Department. Pictures often
have greater information content than the words
that we use to describe them (or the database
weve designed to describe them). Capturing
images digitally permits mathematical abstraction
and comparison of the patterns. Capturing images
digitally allows comparisons of objects that
would perhaps not be otherwise compared.
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The Motivation
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The Motivation
Humans have interpreted images for far longer
than we have interpreted vocabulary-rich
language. Describing patterns in nature often
requires a specialized vocabulary that might form
a barrier to communication even among colleagues
in the same Biology Department. Pictures often
have greater information content than the words
that we use to describe them. Capturing images
digitally permits mathematical abstraction and
comparison of the patterns. Capturing images
digitally allows comparisons of objects that
would perhaps not be otherwise compared. Often
we base our conclusions on many more images than
make it into print.
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The Motivation
And, when properly backed up, morphological
information from specimens can be preserved in
images through regional disasters that destroy
the physical specimens.
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Outline

• Acknowledgements
• The Motivation
• The System
• A Collaborative Environment
• Creating Collections
• Creating Annotations
• The User Trials
• Future Directions

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The System (version 2.5)
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The System (version 2.5)
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The System Collaboration
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The System Collaboration
Working Data Set Under Review Max. time under
review 5 years. Released
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The System Create Collection
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The System Create Collection
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The System Create Collection
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The System Create Collection
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The System Create Collection
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The System Create Collection
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The System Create Collection
(not actual mouse-over for this specimen)
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The System Create Collection
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The System Create Collection
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The System Create Collection
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The System Create Collection
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The System Create Collection
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The System Create Collection
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The System Create Annotation
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The System Create Annotation
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The System Create Annotation
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The System Create Annotation
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The System Create Annotation
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The System Create Annotation
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The System Create Annotation
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The System Create Annotation
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The System Create Annotation
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The System Create Annotation
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The System Create Annotation
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The System Create Annotation
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The System Create Annotation
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Outline

• Acknowledgements
• The Motivation
• The System
• A Collaborative Environment
• Creating Collections
• Creating Annotations
• The User Trials
• Future Directions

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User Trials

• Ongoing trials
• How can current functionality be better
  implemented?
• What new functionality would improve the
  workflow?
• Can images be successfully used for this task?
• Two groups
• Remote participants (variety of genera)
• Visiting participants (Carex)

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Outline

• Acknowledgements
• The Motivation
• The System
• A Collaborative Environment
• Creating Collections
• Creating Annotations
• The User Trials
• Future Directions

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Future Directions

• Communication of determination annotations to
  collection holding specimen (or rather,
  collections specimen db).

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Future Directions

• Communication of determination annotations to
  collection holding specimen (or rather,
  collections specimen db).
• Expand types of objects that can be
  included/represented in collections.

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Future Directions

• Communication of determination annotations to
  collection holding specimen (or rather,
  collections specimen db).
• Expand types of objects that can be
  included/represented in collections.
• Report generation of specimen images (and other
  resources) examined.

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Future Directions

• Communication of determination annotations to
  collection holding specimen (or rather,
  collections specimen db).
• Expand types of objects that can be
  included/represented in collections.
• Report generation of specimen images (and other
  resources) examined.
• Tools for comparing specimen-based taxonomic
  concepts of users.