There is a growing need to associate a variety of metadata with the underlying data, but a simple, elegant approach to uniformly model and query both the data and the metadata has been elusive. In this paper, we argue that (1) the relational model augmented with queries as data values is a natural way to uniformly model data, ar- bitrary metadata and their associations, and (2) relational queries with a join mechanism augmented to permit matching of query re- sult relations, instead of only atomic values, is an elegant way to uniformly query across data and metadata. We describe the archi- tecture of a system we have prototyped for this purpose, demon- strate the generality of our approach and evaluate the performance of the system, in comparison with previous proposals for metadata management.

Intensional Associations Between Data and Metadata

Velegrakis, Ioannis
2007-01-01

Abstract

There is a growing need to associate a variety of metadata with the underlying data, but a simple, elegant approach to uniformly model and query both the data and the metadata has been elusive. In this paper, we argue that (1) the relational model augmented with queries as data values is a natural way to uniformly model data, ar- bitrary metadata and their associations, and (2) relational queries with a join mechanism augmented to permit matching of query re- sult relations, instead of only atomic values, is an elegant way to uniformly query across data and metadata. We describe the archi- tecture of a system we have prototyped for this purpose, demon- strate the generality of our approach and evaluate the performance of the system, in comparison with previous proposals for metadata management.
2007
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
New York
ACM Press
9781595936868
D., Srivastava; Velegrakis, Ioannis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/77507
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