IFO: a formal semantic database model
ACM Transactions on Database Systems (TODS)
Object-oriented modeling and design
Object-oriented modeling and design
Object-oriented analysis (2nd ed.)
Object-oriented analysis (2nd ed.)
Computers & Geosciences - Special issue on GIS design models
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
Data models in geographic information systems
Communications of the ACM
Spatial data integrity constraints in object oriented geographic data modeling
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
OMT Insights: Perspectives on Modeling from the Journal of Object-Oriented Programming
OMT Insights: Perspectives on Modeling from the Journal of Object-Oriented Programming
A Taxonomy of Spatial Data Integrity Constraints
Geoinformatica
A Small Set of Formal Topological Relationships Suitable for End-User Interaction
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
A Semantic Comparison of the Modelling Capabilities of the ER and NIAM Models
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
Integrity constraints in spatial databases
Database integrity
Improving productivity and quality of GIS databases design using an analysis pattern catalog
APCCM '05 Proceedings of the 2nd Asia-Pacific conference on Conceptual modelling - Volume 43
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Considerations from the development of a local spatial data infrastructure
Information Technology for Development - Special issue, part I: Implementation of spatial data infrastructures in transitional economies
Dynamic modeling of trajectory patterns using data mining and reverse engineering
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
A conceptual spatial model supporting topologically-consistent multiple representations
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Ontology-driven geographic information integration: A survey of current approaches
Computers & Geosciences
Building a global normalized ontology for integrating geographic data sources
Computers & Geosciences
CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
Entity-relationship and object-oriented formalisms for modeling spatial environmental data
Environmental Modelling & Software
A logical approach for modeling spatio-temporal objects and events
ER'05 Proceedings of the 24th international conference on Perspectives in Conceptual Modeling
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Semantic and object-oriented data models, such as ER, OMT, IFO, and others, have been extensively used for modeling geographic applications. Despite their semantic expressiveness, such models present limitations to adequately model those applications, since they do not provide appropriate primitives for representing spatial data. This paper presents OMT-G, an object oriented data model for geographic applications. OMT-G provides primitives for modeling the geometry and the topology of spatial data, supporting different topological structures, multiple views of objects, and spatial relationships. OMT-G also includes tools to specify transformation processes and presentation alternatives, that allow, among many other possibilities, modeling for multiple representations and multiple presentations. In this way, it overcomes the main limitations of the existing models, thus providing more adequate tools for modeling geographic applications. A comparison with other data models is also presented in order to stress the main advantages of OMT-G.