标题：Semantic Augmentation of Geospatial Concepts: The Multi-View Augmented Concept to Improve Semantic Interoperability Between Multiples Geospatial Databases
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 2
页码：167-172
出版社：Copernicus Publications
摘要：Semantic interoperability is a key issue for the meaningful sharing of geospatial data between multiples geospatial databases. It requires the establishment of semantic mappings between concepts databases' ontologies. Semantic mappings can be discovered only when semantics is explicit. However, existing concepts' definitions are not always sufficient to represent the semantic richness of geospatial concepts. In addition, semantics may be implicit, refraining from using it during semantic mapping process. This paper, proposes a new representation for geospatial concepts, called Multi-View Augmented Concept (MVAC), which takes into account these drawbacks. We propose a method to generate a MVAC, based on: (1) extraction of the different views of a concept that are valid in different contexts, and (2) augmentation of a concept with implicit dependencies between its features based on rule mining theory. We believe that the proposed approach will play an important role to improve the quality of the semantic interoperability between multiple geospatial databases since it takes into account the implicit semantic relations between different concepts
