Supervaluation semantics for an inland water feature ontology

Paulo Santos, Brandon Bennett, Georgios Sakellariou

Research output: Contribution to journalConference articlepeer-review

26 Citations (Scopus)


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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