Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
Data models in geographic information systems
Communications of the ACM
An extended entity-relationship model for geographic applications
ACM SIGMOD Record
Entity-Relationship Modeling: Foundations of Database Technology
Entity-Relationship Modeling: Foundations of Database Technology
Source Description-Based Approach for the Modeling of Spatial Information Integration
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
Modeling Topological Constraints in Spatial Part-Whole Relationships
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models
ISD '99 Selected Papers from the International Workshop on Integrated Spatial Databases, Digital Inages and GIS
Modeling and Validating Spatio-Temporal Conceptual Schemas in XML Schema
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
Know your limits: enhanced XML modeling with cardinality constraints
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Semantics in Data and Knowledge Bases
Efficient reasoning about a robust XML key fragment
ACM Transactions on Database Systems (TODS)
From Entity Relationship to XML Schema: A Graph-Theoretic Approach
XSym '09 Proceedings of the 6th International XML Database Symposium on Database and XML Technologies
Geometrically Enhanced Conceptual Modelling
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Designing quality XML schemas from e-r diagrams
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Map algebra extended with functors for temporal data
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
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Successful implementation of geographic applications starts with conceptual design. A conceptual schema will then be transformed into a database schema that can be implemented. Geography Markup Language (GML) has emerged as an open standard that provides a common grammar for coding geo-spatial content and exchanging over the Internet. In this paper we discuss the transformation from Geometrically enhanced ER model (GERM) to GML. GERM is an extension of the classical ER model that has been successfully used for conceptual modelling of geographic applications. The transformation rules have been chosen such that relevant application semantics is preserved during the transformation. We further present an bottom-up algorithm for transforming GERM schemas into their GML counterparts. A case study is conducted to demonstrate the effectiveness of the algorithm.