Literature DB >> 33816928

An expert study on hierarchy comparison methods applied to biological taxonomies curation.

Lilliana Sancho-Chavarria1, Fabian Beck2, Erick Mata-Montero1.   

Abstract

Comparison of hierarchies aims at identifying differences and similarities between two or more hierarchical structures. In the biological taxonomy domain, comparison is indispensable for the reconciliation of alternative versions of a taxonomic classification. Biological taxonomies are knowledge structures that may include large amounts of nodes (taxa), which are typically maintained manually. We present the results of a user study with taxonomy experts that evaluates four well-known methods for the comparison of two hierarchies, namely, edge drawing, matrix representation, animation and agglomeration. Each of these methods is evaluated with respect to seven typical biological taxonomy curation tasks. To this end, we designed an interactive software environment through which expert taxonomists performed exercises representative of the considered tasks. We evaluated participants' effectiveness and level of satisfaction from both quantitative and qualitative perspectives. Overall quantitative results evidence that participants were less effective with agglomeration whereas they were more satisfied with edge drawing. Qualitative findings reveal a greater preference among participants for the edge drawing method. In addition, from the qualitative analysis, we obtained insights that contribute to explain the differences between the methods and provide directions for future research.
© 2020 Sancho-Chavarria et al.

Entities:  

Keywords:  Biological taxonomy; Comparison; Expert study; Hierarchy comparison; Hierarchy visualization methods; Information visualization; Quantitative and qualitative evaluation

Year:  2020        PMID: 33816928      PMCID: PMC7924413          DOI: 10.7717/peerj-cs.277

Source DB:  PubMed          Journal:  PeerJ Comput Sci        ISSN: 2376-5992


  7 in total

1.  Empirical Studies in Information Visualization: Seven Scenarios.

Authors:  Heidi Lam; Enrico Bertini; Petra Isenberg; Catherine Plaisant; Sheelagh Carpendale
Journal:  IEEE Trans Vis Comput Graph       Date:  2011-12-06       Impact factor: 4.579

2.  Exploring multiple trees through DAG representations.

Authors:  Martin Graham; Jessie Kennedy
Journal:  IEEE Trans Vis Comput Graph       Date:  2007 Nov-Dec       Impact factor: 4.579

3.  Constructing Grounded Theory: A practical guide through qualitative analysis Kathy Charmaz Constructing Grounded Theory: A practical guide through qualitative analysis Sage 224 £19.99 0761973532 0761973532 [Formula: see text].

Authors: 
Journal:  Nurse Res       Date:  2006-07-01

4.  Insights by Visual Comparison: The State and Challenges.

Authors:  Tatiana von Landesberger
Journal:  IEEE Comput Graph Appl       Date:  2018-05       Impact factor: 2.088

5.  Considerations for Visualizing Comparison.

Authors:  Michael Gleicher
Journal:  IEEE Trans Vis Comput Graph       Date:  2017-08-29       Impact factor: 4.579

6.  The tempo and mode of the taxonomic correction process: How taxonomists have corrected and recorrected North American bird species over the last 127 years.

Authors:  Gaurav Vaidya; Denis Lepage; Robert Guralnick
Journal:  PLoS One       Date:  2018-04-19       Impact factor: 3.240

7.  Research applications of primary biodiversity databases in the digital age.

Authors:  Joan E Ball-Damerow; Laura Brenskelle; Narayani Barve; Pamela S Soltis; Petra Sierwald; Rüdiger Bieler; Raphael LaFrance; Arturo H Ariño; Robert P Guralnick
Journal:  PLoS One       Date:  2019-09-11       Impact factor: 3.240

  7 in total

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