Categories, types, and structures: an introduction to category theory for the working computer scientist
Answering queries using views (extended abstract)
PODS '95 Proceedings of the fourteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Complexity of answering queries using materialized views
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Generating efficient plans for queries using views
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Accessing Data Integration Systems through Conceptual Schemas
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
Source Description-Based Approach for the Modeling of Spatial Information Integration
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
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Many scientific databases need to manage complex 3D geometric data such as models of the cerebral cortex. Often the complexity of the data forces users to construct muliple, simpler representations, which cover the real, complete model only partially and approximately. In order to recover the original information one needs to integrate these partial and incomplete models. In this paper, we first develop a conceptual model for objects and relationships in 3D geometric data, as well as their partial and approximate representations. We then establish mapping relationships between different approximations of the same data. Finally, we present a geometric information integration technique that will perform the integration where possible, and determine, for some cases, when the integration cannot be performed.