Supervaluation semantics for an inland water feature ontology

Paulo Santos, Brandon Bennett, Georgios Sakellariou

Research output: Contribution to journalConference article

21 Citations (Scopus)

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 languageEnglish
Pages (from-to)564-569
Number of pages6
JournalIJCAI International Joint Conference on Artificial Intelligence
Issue number19
Publication statusPublished - 1 Aug 2005
Externally publishedYes
Event19th International Joint Conference on Artificial Intelligence, IJCAI 2005 - Edinburgh, United Kingdom
Duration: 30 Jul 20055 Aug 2005

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