Visualisation to aid biodiversity studies through accurate taxonomic reconciliation

Martin Graham*, Paul Craig, Jessie Kennedy

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

4 Citations (Scopus)


All aspects of organismal biology rely on the accurate identification of specimens described and observed. This is particularly important for ecological surveys of biodiversity, where organisms must be identified and labelled, both for the purposes of the original research, but also to allow reinterpretation or reuse of collected data by subsequent research projects. Yet it is now clear that biological names in isolation are unsuitable as unique identifiers for organisms. Much modern research in ecology is based on the integration (and re-use) of multiple datasets which are inherently complex, reflecting any of the many spatial and temporal environmental factors and organismal interactions that contribute to a given ecosystem. We describe visualization tools that aid in the process of building concept relations between related classifications and then in understanding the effects of using these relations to match across sets of classifications.

Original languageEnglish
Title of host publicationSharing Data, Information and Knowledge - 25th British National Conference on Databases, BNCOD 25, Proceedings
Number of pages12
Publication statusPublished - 2008
Externally publishedYes
Event25th British National Conference on Databases, BNCOD 2008 - Cardiff, United Kingdom
Duration: 7 Jul 200810 Jul 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5071 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference25th British National Conference on Databases, BNCOD 2008
Country/TerritoryUnited Kingdom


  • Biodiversity
  • Concept relationships
  • Concepts
  • Taxonomy
  • Visualization


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