2014 | OriginalPaper | Buchkapitel
An Ontology Design Pattern for Surface Water Features
verfasst von : Gaurav Sinha, David Mark, Dave Kolas, Dalia Varanka, Boleslo E. Romero, Chen-Chieh Feng, E. Lynn Usery, Joshua Liebermann, Alexandre Sorokine
Erschienen in: Geographic Information Science
Verlag: Springer International Publishing
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Surface water is a primary concept of human experience but concepts are captured in cultures and languages in many different ways. Still, many commonalities exist due to the physical basis of many of the properties and categories. An abstract ontology of surface water features based only on those physical properties of landscape features has the best potential for serving as a foundational domain ontology for other more context-dependent ontologies. The
Surface Water
ontology design pattern was developed both for domain knowledge distillation and to serve as a conceptual building-block for more complex or specialized surface water ontologies. A fundamental distinction is made in this ontology between landscape features that act as containers (e.g., stream channels, basins) and the bodies of water (e.g., rivers, lakes) that occupy those containers. Concave (container) landforms semantics are specified in a
Dry
module and the semantics of contained bodies of water in a
Wet
module. The pattern is implemented in OWL, but Description Logic axioms and a detailed explanation is provided in this paper. The OWL ontology will be an important contribution to Semantic Web vocabulary for annotating surface water feature datasets. Also provided is a discussion of why there is a need to complement the pattern with other ontologies, especially the previously developed
Surface Network
pattern. Finally, the practical value of the pattern in semantic querying of surface water datasets is illustrated through an annotated geospatial dataset and sample queries using the classes of the
Surface Water
pattern.