| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 378179 | Artificial Intelligence in Medicine | 2007 | 14 Pages |
Abstract
SummaryObjectiveSupport for the symbolic representation of the physical structure of living organisms by an ontologically solid and logically sound foundation as a basis for formal reasoning.MethodsA set of canonical relations and attributes necessary for empirically adequate descriptions of biological entities is proposed.ResultsIt is shown how a broad range of biological organisms and their parts can be represented by cascading theories which are ordered by the dimensions of granularity, development, species, and canonicity.ConclusionThe proposed representation of biological objects is non-redundant and compatible with inter- and intra-species similarities, developmental stages and pathological deviations.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Stefan Schulz, Udo Hahn,