Towards efficient induction mechanisms in database systems
Theoretical Computer Science - Special issue on formal methods in databases and software engineering
Parallel Knowledge Discovery Using Domain Generalization Graphs
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Knowledge Discovery in Databases: An Attribute-Oriented Approach
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
What Are Sports Grounds? Or: Why Semantics Requires Interoperability
INTEROP '99 Proceedings of the Second International Conference on Interoperating Geographic Information Systems
Logical and Semantic Database Integration
BIBE '00 Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering
Attribute-Oriented Induction Using Domain Generalization Graphs
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
Data visualization in the DB-Discover system
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
A study on automatic ontology mapping of categorical information
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Ontology alignment for real-world applications
dg.o '04 Proceedings of the 2004 annual national conference on Digital government research
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This paper describes an approach for automatically combining geospatial and temporal ontologies such that a geospatial domain can be analyzed over multiple temporal granularities. Terms from a geospatial ontology are combined with terms from a temporal ontology to form cross products that provide an integrated spatiotemporal framework. This framework is multi-granular, highlighting elements from the geospatial ontology at different domain times. We show how pairs of ontologies represented in Protégé can be used as the input for deriving cross products and how the results of this technique can be used as a basis for querying and retrieving new perspectives on geospatial domains. Visualizations of cross product spaces highlight the geospatial---temporal combinations of terms as well as the different relations that link these terms and improve the understanding of the structure of the spatiotemporal framework. Methods for filtering terms from the cross products are also investigated in order to prune the resulting frameworks and remove irrelevant or unnecessary terms.