Semantic Modeling for Geographic Information Systems
Conceptual modeling; Conceptual modeling for Geographic Information System; Conceptual modeling for Spatio-temporal applications; Geographical databases; GIS.
Semantic modeling denotes the activity of designing and describing the structure of a data set using a semantic data model. Semantic data models (also known as conceptual data models) are data models whose aim is to provide designers with modeling constructs and rules that are well suited for representing the user’s perception of data in the application world, abstracting from implementation concerns. They contrast with logical and physical data models, whose aim is to organize data in a way that is easily manageable by a computer. The most popular semantic data models are UML, a de facto standard, and ER (Entity-Relationship), still widely used in many design methodologies and favored by the academic community.
Semantic models were first created in the database community in the 1980s. They started to be...
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