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 language | English (US) |
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Pages (from-to) | 13-24 |
Number of pages | 12 |
Journal | CEUR Workshop Proceedings |
Volume | 1456 |
State | Published - 2015 |
Event | International 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
- General Computer Science