ProvenanceMatrix: A visualization tool for multi-taxonomy alignments

Tuan Dang, Nico Franz, Bertram Ludaescher, Angus Graeme Forbes

Research output: Contribution to journalConference article

Abstract

Visualizing and analyzing the relationships between taxonomic entities represented in multiple input classifications is both challenging and required due to recurrent new discoveries and inferences of taxa and their phylogenetic relationships. Despite the availability of numerous visualization techniques, the large size of hierarchical classifications and complex relations between taxonomic entities generated during a multi-taxonomy alignment process requires new visualizations. This paper introduces ProvenanceMatrix, a novel tool allowing end users (taxonomists, ecologists, phylogeneticists) to explore and comprehend the outcomes of taxonomic alignments. We illustrate the use of Provenance-Matrix through examples using taxonomic classifications of various sizes, from a few to hundreds of taxonomic entities and hundreds of thousands of relationships.

Original languageEnglish (US)
Pages (from-to)13-24
Number of pages12
JournalCEUR Workshop Proceedings
Volume1456
StatePublished - Jan 1 2015
EventInternational Workshop on Visualizations and User Interfaces for Ontologies and Linked Data, VOILA 2015 - co-located with 14th International Semantic Web Conference, ISWC 2015 - Bethlehem, United States
Duration: Oct 11 2015 → …

Keywords

  • Glyph-based visualization
  • Matrix representation
  • Multi-taxonomy alignment
  • Phylogenetic relationship
  • Taxonomic classification

ASJC Scopus subject areas

  • Computer Science(all)

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