Abstract
Logical data independence is central to a number of database research problems including data integration and keyword search. In this paper, a data model that unifies several of the most widely adopted data models is studied. The key is to disassociate metadata from particular roles. A high-level, context-based (or semantically-based) query language is introduced, and applications to the aforementioned areas of research are demonstrated briefly.
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Lu, J.J. (2005). Logical Data Independence Reconsidered (Extended Abstract). In: Hacid, MS., Murray, N.V., Raś, Z.W., Tsumoto, S. (eds) Foundations of Intelligent Systems. ISMIS 2005. Lecture Notes in Computer Science(), vol 3488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11425274_70
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DOI: https://doi.org/10.1007/11425274_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25878-0
Online ISBN: 978-3-540-31949-8
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