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 |