Supervaluation semantics for an inland water feature ontology

Paulo Santos; Brandon Bennett; Georgios Sakellariou

Supervaluation semantics for an inland water feature ontology

Paulo Santos, Brandon Bennett, Georgios Sakellariou

Research output: Contribution to journal › Conference article › peer-review

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 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

Access to Document

https://www.ijcai.org/Proceedings/2005Licence: In Copyright

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title = "Supervaluation semantics for an inland water feature ontology",

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.",

author = "Paulo Santos and Brandon Bennett and Georgios Sakellariou",

year = "2005",

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AU - Bennett, Brandon

AU - Sakellariou, Georgios

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AB - 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.

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M3 - Conference article

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JO - IJCAI International Joint Conference on Artificial Intelligence

JF - IJCAI International Joint Conference on Artificial Intelligence

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T2 - 19th International Joint Conference on Artificial Intelligence, IJCAI 2005

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