Title :
Geospatial behavioural semantics: A natural language approach
Author :
Stock, Kristin M.
Author_Institution :
Univ. of Nottingham, Nottingham, UK
Abstract :
This paper has presented the use of NSM combined with feature type ontologies to describe the behavior of geospatial features, and explained how such descriptions can be used to match user queries against queries that can be executed on a database, allowing users to express their queries in behavioral terms, using restricted natural language. A similar approach may be applied to the behavioral semantics of geographic feature types in ontologies or web services.
Keywords :
Web services; geographic information systems; geophysical techniques; geophysics computing; natural languages; ontologies (artificial intelligence); query processing; NSM; Web services; feature type ontologies; geospatial behavioural semantics; geospatial feature behavior; natural language approach; Geospatial analysis; Knowledge based systems; Natural languages; Ontologies; Rivers; Semantics; Web services;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350718
