'Roads' data model: a necessary component for feature-based map generalization

Leone Barnett, John V. Carlis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Extending database management systems (DBMS) to support spatial data and geographic information systems (GIS) is an active area of research. As GIS, which specialize in spatial data, become more sophisticated, a particularly challenging problem of spatial data management is becoming increasingly important. The problem is how to support the real-world meaning of spatial data so that more kinds of spatial data management can be automated. An example of real-world meaning is that a given sequence of points refers to the Chicago River. This 'real-world meaning' is a type of 'semantic information' that is necessary for accomplishing complex tasks that are not amenable to purely algorithmic solutions. One such complex task is called digital cartographic generalization, or map generalization. We investigated this problem in the context of a common map feature called 'Roads,' and developed a detailed data model that captures the complexity involved in depicting roads in maps. The data model includes specific types of data used in rules that are needed for automatically controlling the generalization of roads data. A detailed model like this is a necessary component of an extended DBMS that is designed to manage real-world meaning in addition to spatial data.

Original languageEnglish (US)
Title of host publicationProceedings of the ACM Workshop on Advances in Geographic Information Systems
PublisherACM
Pages58-67
Number of pages10
StatePublished - Dec 1 1996
EventProceedings of the 1996 4th ACM Workshop on Advances in Geographic Information Systems, GIS - Rockville, MD, USA
Duration: Nov 15 1996Nov 16 1996

Other

OtherProceedings of the 1996 4th ACM Workshop on Advances in Geographic Information Systems, GIS
CityRockville, MD, USA
Period11/15/9611/16/96

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