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 language | English (US) |
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Title of host publication | Proceedings of the ACM Workshop on Advances in Geographic Information Systems |
Publisher | ACM |
Pages | 58-67 |
Number of pages | 10 |
State | Published - Dec 1 1996 |
Event | Proceedings of the 1996 4th ACM Workshop on Advances in Geographic Information Systems, GIS - Rockville, MD, USA Duration: Nov 15 1996 → Nov 16 1996 |
Other
Other | Proceedings of the 1996 4th ACM Workshop on Advances in Geographic Information Systems, GIS |
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City | Rockville, MD, USA |
Period | 11/15/96 → 11/16/96 |