Journal of the ACM (JACM)
Data models, database languages and database management systems
Data models, database languages and database management systems
Unique complements and decompositions of database schemata
Journal of Computer and System Sciences
Update semantics of relational views
ACM Transactions on Database Systems (TODS)
Equivalences Among Relational Expressions with the Union and Difference Operators
Journal of the ACM (JACM)
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Universality of data retrieval languages
POPL '79 Proceedings of the 6th ACM SIGACT-SIGPLAN symposium on Principles of programming languages
On complementary and independent mappings on databases
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Efficient Maintenance of Temporal Data Warehouses
IDEAS '00 Proceedings of the 2000 International Symposium on Database Engineering & Applications
Monotonic complements for independent data warehouses
The VLDB Journal — The International Journal on Very Large Data Bases
The impact of the constant complement approach towards view updating
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Implementation of updateable object views in the ODRA OODBMS
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II
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Views as a means to describe parts of a given data collection play an important role in many database applications. In dynamic environments, where data is updated, not only information provided by views, but also information provided by data sources but missing from views turns out to be relevant: Previously, this missing information was characterized in terms of view complements; recently, it was shown that view complements can be exploited in the context of data warehouses to guarantee desirable warehouse properties such as independence and self-maintainability. As the complete source information is a trivial complement for any given view, a natural interest for "small" or even "minimal" complements arises. However, the computation of minimal complements is still not too well understood. In this paper, we show how to compute reasonably small (and in special cases even minimal) complements for monotonic relational views, where the complexity of constructing complements is polynomial in the size of schema information.