Computer
Intelligent database design using the unifying semantic model
Information and Management
The GeoOOA-tool and its interface to open software development environments for GIS
GIS '96 Proceedings of the 4th ACM international workshop on Advances in geographic information systems
Supporting valid-time indeterminacy
ACM Transactions on Database Systems (TODS)
Requirements, definitions, and notations for spatiotemporal application environments
Proceedings of the 6th ACM international symposium on Advances in geographic information systems
Spatio-temporal conceptual models: data structures + space + time
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
Supporting User-Defined Granularities in a Spatiotemporal Conceptual Model
Annals of Mathematics and Artificial Intelligence
Conceptual Data Modeling for Spatiotemporal Applications
Geoinformatica
Supporting User-Defined Granularities in a Spatiotemporal Conceptual Model
Annals of Mathematics and Artificial Intelligence
Augmenting traditional ER method to support spatiotemporal database applications
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
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We describe DISTIL (DIstributed design of SpaTIo-temporaL data), a web-based conceptual modeling prototype system that can help capture the semantics of spatio-temporal data. Via DISTIL, we describe an annotation-based approach that divides spatio-temporal conceptual design into two steps: first capture the current reality of an application using a conventional conceptual model without considering the spatial aspects, and only then annotate the schema with the spatio-temporal semantics of the application. A database development team can use DISTIL to capture and validate their spatio-temporal data requirements. Using DISTIL we demonstrate that the annotation-based approach for capturing spatio-temporal requirements is straightforward to implement, satisfies ontology-based and cognition-based requirements, and integrates seamlessly into the existing database design methodologies.