Abstract
Moving towards more automated data integration requires using a more structured semantic approach to data handling. While current systems are focusing on basic data interoperability we investigate options to define a reliable method which automatically constructs a species distribution map, using a GIS, from spatial foundation data, species knowledge, mapping method knowledge and map purpose.
We apply description logics (DLs) to the domain of species distribution mapping. Any species distribution mapping procedure can be simplified as a combination of: Data (D)–Method (M)–Output (O)
We build suitable ontologies to handle the D component, namely (a) species, (b) ecological preferences and (c) environmental layers.
We look at the M component as a complete script to generate a distribution map. The
construction of scripts is addressed as a configuration problem.
Finally we test the approach using the data of the African Mammals
We apply description logics (DLs) to the domain of species distribution mapping. Any species distribution mapping procedure can be simplified as a combination of: Data (D)–Method (M)–Output (O)
We build suitable ontologies to handle the D component, namely (a) species, (b) ecological preferences and (c) environmental layers.
We look at the M component as a complete script to generate a distribution map. The
construction of scripts is addressed as a configuration problem.
Finally we test the approach using the data of the African Mammals
| Original language | English |
|---|---|
| Title of host publication | Tropical biodiversity : science, data, conservation : proceedings of the 3rd GBIF Science Symposium, Brussels, 18-19 April 2005. / ed. by H. Segers, P. Desmet and E. Baus. Brussels : Belgian Science Policy, 2006. pp. 122-131 |
| Editors | H. Segers, P. Desmet, E. Baus |
| Place of Publication | Brussels, Belgium |
| Publisher | Belgian Science Policy |
| Pages | 122-131 |
| Publication status | Published - 2006 |
Keywords
- GIP
- ADLIB-ART-1402
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