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

PeerJ Comput Sci. 2020 Jun 29:6:e277. doi: 10.7717/peerj-cs.277. eCollection 2020.

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.

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

Grants and funding

This work was supported by the Costa Rica Institute of Technology (doctoral scholarship and research grant VIE-1370003). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.