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Representation of generalized map series using semi-structured data models

Authors :
Stefanakis, Emmanuel
Source :
Cartography and Geographic Information Science. January 2003, Vol. 30 Issue 1, p51, 18 p.
Publication Year :
2003

Abstract

Large cartographic organizations worldwide produce generalized map series (GMS) in order to meet various user requirements. A GMS consists of maps of the same geographic region at different scales. Most of these maps currently are designed in a digital environment, and recently some of them have been distributed through the web. One important issue is the appropriate modeling and handling of cartographic entities composing individual maps in a GMS. Since these entities have rather complex descriptions and may be provided by various agencies, they usually do not conform to a fixed schema (i.e., they do not have a common structure). Hence, their representation in traditional data models, such as the relational or object-oriented, is not always feasible. This paper investigates the use of semi-structured data (SSD) models--an innovative approach recently developed in Information Technology for representing and handling entities in a GMS. Specifically, the Object Exchange Model (OEM), a popular database model for SSD, has been adopted to represent a GMS. How useful information can be extracted from such a representation using the LOREL query language--a popular language for SSD--is also shown. KEYWORDS: Map generalization, generalized map series (GMS), semi-structured data (SSD), Object Exchange Model (OEM), Lightweight Object REpository (LORE) system, LORE query Language (LOREL).<br />Introduction Information Technology (IT) scientists recently have focused their efforts on developing innovative methodologies for modeling and handling semi-structured data (SSD) in order to enhance the efficiency of software systems [...]

Details

Language :
English
ISSN :
15230406
Volume :
30
Issue :
1
Database :
Gale General OneFile
Journal :
Cartography and Geographic Information Science
Publication Type :
Academic Journal
Accession number :
edsgcl.99374868