Managing Semantic Heterogeneity in Databases: A Theoretical Perspective (1997)
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BibTeX
@MISC{Hull97managingsemantic,
author = {Richard Hull and Wwwd D. Wodtke and J. Weissenfels and G. Weikum and R. S. Patil and R. E. Fikes and P. F. Patel-schneider and D. Mckay and T. Finin and T. R. Gruber and R. Neches The and B. Nebel and C. Rich and W. Swartout and Pkh C. Pu and G. E. Kaiser and N. Hutchinson Splittransactions and J. Mylopoulos and Rr G. Ramalingam},
title = {Managing Semantic Heterogeneity in Databases: A Theoretical Perspective},
year = {1997}
}
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Abstract
Modern database management systems essentially solve the problem of accessing and managing large volumes of related data on a single platform, or on a cluster of tightlycoupled platforms. But many problems remain when two or more databases need to work together. A fundamental problem is raised by semantic heterogeneity -- the fact that data du plicated across multiple databases is represented differently in the underlying database schemas. This tutorial describes fundamental problems raised by semantic heterogeneity and surveys theoretical frameworks that can provide solutions for them. The tutorial considers the following topics: (1) repre sentative architectures for supporting database interoperation; (2) notions for comparing the "information capacity" of database schemas; (3) providing support for readonly integrated views of data, including the virtual and materialized approaches; (4) providing support for readwrite integrated views of data, including the issue of workflows on heterogeneous databases; and (5) research and tools for accessing and effectively using metadata, e.g., to identify the relationships between schemas of different databases.
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