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- W136569951 abstract "This research extends database management systems in their ability to provide semantic information support for geographic information systems (GIS). A Semantic Framework organizes issues and representation concepts related to semantic support, and emphasizes the importance of content analysis. With GIS, the need for semantic information support centers around associating meaning with spatial object data. Data models of existing GIS, and an examination of the Spatial Data Transfer Standard, show that a lack of support for complex relationships between spatial objects and real-world information limits the ability of a system to support semantic information. Digital cartographic generalization exemplifies a problem that requires more availability of the meaning of spatial objects than systems typically have. A high level architecture for generalization enables a system to generalize data representing roads, which are real-world features prominent in maps. The architecture includes the use of a detailed roads data model, associated rules, and specialized feature conversion methods that enable the system to change from one representation of roads to another according to scale requirements. As a result, a system can manage multiple levels of representation for roads, which means that it can produce an appropriate display for any scale from a single, detailed data set. Spatial-object level operations simplify the specification of the conversion methods. These operations, derived from an analysis of published vector and raster generalization operators, define the spatial transformations that generalization produces." @default.
- W136569951 created "2016-06-24" @default.
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- W136569951 date "1994-01-01" @default.
- W136569951 modified "2023-09-24" @default.
- W136569951 title "Extending database management systems to support semantic information in geographic information systems" @default.
- W136569951 hasPublicationYear "1994" @default.
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