Derivation and implementation of a semantic GIS data model informed by principles of cognition. Jeremy, L., M. Computers, Environment and Urban SystemsComputers, Environment and urban Systems, 2003. abstract bibtex The purpose of this research is to develop a new kind of semantic GIS data model that is better able to represent users\textquoteright conceptual models of geographic domains than the conventional vector and raster data models. To this end, I look to the principles of cognition, how humans represent geographic information in their minds, to inform the development of this semantic data model. A three-stage methodology for the derivation and implementation of the semantic data model is presented. First, a conceptual framework of geographic cognition is developed. This framework incorporates principles of cognitive categorization and \textquotelefttop-down\textquoteright and \textquoteleftbottom-up\textquoteright information processing. Second, by replacing those elements of cognition with their database representation counterparts, often drawing from the object-oriented modeling paradigm, a semantic data model is derived. Finally, a prototype implementation of the semantic data model is presented using the Java programming language and the object-oriented database Poet as a development platform. This implementation utilizes a rule-based approach for representing categorical information and for the extraction of semantic entities from observational data.
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title = {Derivation and implementation of a semantic GIS data model informed by principles of cognition},
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abstract = {The purpose of this research is to develop a new kind of semantic GIS data model that is better able to represent users\textquoteright conceptual models of geographic domains than the conventional vector and raster data models. To this end, I look to the principles of cognition, how humans represent geographic information in their minds, to inform the development of this semantic data model. A three-stage methodology for the derivation and implementation of the semantic data model is presented. First, a conceptual framework of geographic cognition is developed. This framework incorporates principles of cognitive categorization and \textquotelefttop-down\textquoteright and \textquoteleftbottom-up\textquoteright information processing. Second, by replacing those elements of cognition with their database representation counterparts, often drawing from the object-oriented modeling paradigm, a semantic data model is derived. Finally, a prototype implementation of the semantic data model is presented using the Java programming language and the object-oriented database Poet as a development platform. This implementation utilizes a rule-based approach for representing categorical information and for the extraction of semantic entities from observational data.},
bibtype = {article},
author = {Jeremy, L Mennis},
journal = {Computers, Environment and Urban SystemsComputers, Environment and urban Systems}
}
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