Ytow, N.; Morse, D. R. and Roberts, D.M.L.
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Evolutionary studies are generating increasing numbers of phylogenies which, in turn, sometimes result in changes to hierarchical organization and therefore changes in taxonomic nomenclature. A three-layered data model for a nomenclature database has been developed in order to elucidate the information structure in nomenclature and as a means to organize and manage a large, dynamic knowledge-base. In contrast to most other taxonomic databases, the model is publication-oriented rather than taxon-oriented and dynamic rather than static, in order to mimic the processes that taxonomists use naturally. The three-layered structure requires data integrity localized to each publication, instead of global data integrity, which relaxes constraints common to taxonomic databases and permits multiple taxonomic opinions: taxon names are made available as metadata within the model. Its prototype
implementation, written in C++, has an autonomous self-identification mechanism to avoid spurious data-inflation in a publication-oriented data model. Self-identification is also desirable for distributed implementations of the nomenclature database. Publication-oriented design also will make maintenance easier than for taxon-oriented databases, much of the maintenance workload being amenable to automation. The three-layered data model was designed for use by taxonomists, but is also able to provide concise, reduced expression for non-experts required in biodiversity research, for example.
|Item Type:||Journal Article|
|Keywords:||dynamic knowledge base; species names; temporal database; name scope|
|Academic Unit/Department:||Mathematics, Computing and Technology > Computing & Communications|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||David Morse|
|Date Deposited:||26 Jun 2006|
|Last Modified:||28 Jan 2014 13:35|
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