Proceedings

Supervaluation Semantics for an Inland Water Feature Ontology

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 564-568.

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.

Paulo E. Santos, Brandon Bennett, and Georgios Sakellariou. 2005. Supervaluation Semantics for an Inland Water Feature Ontology. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 564–568. https://ijcai.org/proceedings/2005/141
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