Computers & Geosciences - Special issue on GIS design models
AI for the Web - Ontology-Based Community Web Portals
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Introduction to the special issue on semantic integration
ACM SIGMOD Record
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
Semantic-integration research in the database community
AI Magazine - Special issue on semantic integration
An ontology-based knowledge management system for flow and water quality modeling
Advances in Engineering Software
Ontology based personalized route planning system using a multi-criteria decision making approach
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
Spatiotempoal data model is fundamental to geospatial data representation, organization, analysis and applications. Due to the absence of geospatial semantic modeling and its logical structure, the spatiotemporal data may be interpreted mistakenly by other users or by other systems. For multi-purpose urban geospatial information development and sharing, spatial entities and their semantics should be modeled carefully. This paper presents strategy in geo-ontology-based object-oriented spatiotemporal data modeling to design a geospatial data model which can solve the problems of semantic conflict, and is ease of backtracking query and data sharing. A new approach is proposed to enterprise-level urban geospatial data integration, management and sharing. Modeling experiences show that it is easy to storage, manage and distribute spatiotemporal data for urban enterprise-level GIS applications in the network environment.