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Nested relational database systems

Authors: LAMPERTI, Gian Franco; MELCHIORI, Michele; ZANELLA, Marina;

Nested relational database systems

Abstract

Relational database systems entered the marketplace in the early 1980s and have since become the standard database model. The main reason for this success was the general agreement that they provided a satisfactory re­sponse to the typical needs of business applications. The most successful features of the relational model was the ease of use of its query language, which is set-oriented in nature, together with the conceptual simplicity of the data model. This success has stimulated the extension of the database technology to areas different from business applications, including computer-aided design, computer-aided software engineering, and knowledge representation. These new applications highlighted two major shortcomings of the relational paradigm: the inability to express complex data structures in a natural way, and a limited expressive power of query languages. To overcome the first limitation, the relational model was extended to involve nested relations, thereby relaxing the first-normal-form. To cope with the second limitation, query languages were extended to include more powerful operators.

Country
Italy
Related Organizations
Keywords

Nested relational model; Extended relational databases

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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