CPI: constraints-preserving inlining algorithm for mapping XML DTD to relational schema
Data & Knowledge Engineering - ER2000
Analysis of different approaches for storing GML documents
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Information Systems
Capturing XML Constraints with Relational Schema
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Storing and querying GML in object-relational databases
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Constraints-preserving transformation from XML document type deffinition to relational schema
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Building GML-native web-based geographic information systems
Computers & Geosciences
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As Geography Markup Language (GML) becomes a standard for geographic information representation on the internet, more needs to efficiently store and retrieve GML data arise. Storing and retrieving GML data in object-relational database is a proper option considering its sophisticated technology and object-oriented features. The existing storage approaches for GML are not satisfactory for they consider only data aspects while ignoring semantic constraints. In the paper, we explore the structure and semantic characteristics existed in GML, and present a method to capture and map these constraints into object-relational databases during GML storage. Comparing with the existing methods, our approach preserves not only the data and structure, but also its semantics of GML document.