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.
|Number of pages
|IJCAI International Joint Conference on Artificial Intelligence
|Published - 1 Aug 2005
|19th International Joint Conference on Artificial Intelligence, IJCAI 2005 - Edinburgh, United Kingdom
Duration: 30 Jul 2005 → 5 Aug 2005