Supervaluation semantics for an inland water feature ontology

Authors:
Paulo Santos;Brandon Bennett;Georgios Sakellariou
Affiliations:
School of Computing, University of Leeds, Leeds, UK;School of Computing, University of Leeds, Leeds, UK;Electrical and Electronics Engineering, Imperial College, London, UK
Venue:
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Year:
2005

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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.