Understanding and Using Context
Personal and Ubiquitous Computing
Semantic and schematic similarities between database objects: a context-based approach
The VLDB Journal — The International Journal on Very Large Data Bases
Representing and reasoning about semantic conflicts in heterogeneous information systems
Representing and reasoning about semantic conflicts in heterogeneous information systems
Topic maps for context management
ISICT '03 Proceedings of the 1st international symposium on Information and communication technologies
Context in problem solving: a survey
The Knowledge Engineering Review
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Query processing in a geographic mediation system
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Context dynamic and explanation in contextual graphs
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
Combining artificial intelligence and databases for data integration
Artificial intelligence today
Towards an ontology for context representation in groupware
CRIWG'05 Proceedings of the 11th international conference on Groupware: design, Implementation, and Use
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Recently, Geospatial data and Geographic Information Systems (GIS) have been increasingly used As a result, the integration of geospatial data has become a crucial task for decision makers Since GIS and geospatial databases are designed by different organizations using different representation models and there are diverse levels of detail for the spatial features, it is much more complex to achieve data integration in geospatial databases To help matters, context information may be employed to improve two fundamental aspects in Geospatial Data Integration: (1) schema mapping generation and (2) query answering However, a relevant issue when using context is how to better represent context information Ontologies are an interesting approach to represent context, since they enable sharing and reusability and help reasoning In this paper, we propose a context ontology to formally represent context in geospatial data integration We also present an example where this context ontology is used to improve query processing.