Abstract
This paper describes an ontology for inland water features built using formal concept analysis and supervaluation semantics. The first is used to generate a complete lattice of the water domain, whereas supervaluation semantics is used to model the variability of the concepts in terms of threshold parameters. We also present an algorithm for a mechanism of individuation and classification of water features, from snapshots of river networks, according to the proposed ontology.
| Original language | English |
|---|---|
| Pages (from-to) | 564-569 |
| Number of pages | 6 |
| Journal | IJCAI International Joint Conference on Artificial Intelligence |
| Issue number | 19 |
| Publication status | Published - 1 Aug 2005 |
| Externally published | Yes |
| Event | 19th International Joint Conference on Artificial Intelligence, IJCAI 2005 - Edinburgh, United Kingdom Duration: 30 Jul 2005 → 5 Aug 2005 |
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