Neighborhood/conceptual query answering with imprecise/incomplete data

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Authors: Arbee L. P. Chen, Show-Jane Yen

Tags: 1993, conceptual modeling

The evolution of database systems tends to the development of higher degree of user-friendliness such that the system can be directly handled by nonprofessionals. In order to reach this goal, the database system needs to provide a query language by which queries can be specified conceptually. Also, the query condition may be relaxed such that information within a certain semantic distance to the exact answer can be obtained. Moreover, the real-world information is usually imprecise and incomplete. It is therefore important to store imprecise and incomplete information in a database, and to manipulate this information accordingly. In this paper, we provide a conceptual query language by which fuzzy query conditions and neighborhood query conditions can be specified. Query processing strategies for these two query conditions are proposed considering imprecise and incomplete information. A domain concept hierarchy is constructed on top of a numerical domain to handle imprecise data, while dependencies between database attributes are derived for incomplete information. An application of the techniques for processing queries under network partitioning is also discussed.

Read the full paper here: https://link.springer.com/chapter/10.1007/BFb0024364