Intensional associations between data and metadata

Divesh Srivastava; Yannis Velegrakis

doi:10.1145/1247480.1247526

Intensional associations between data and metadata

Divesh Srivastava^*, Yannis Velegrakis

^*Corresponding author for this work

Sub Data Intensive Systems

AT&T

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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, arbitrary metadata and their associations, and (2) relational queries with a join mechanism augmented to permit matching of query result relations, instead of only atomic values, is an elegant way to uniformly query across data and metadata. We describe the architecture of a system we have prototyped for this purpose, demonstrate the generality of our approach and evaluate the performance of the system, in comparison with previous proposals for metadata management.

Original language	English
Title of host publication	SIGMOD 2007
Subtitle of host publication	Proceedings of the ACM SIGMOD International Conference on Management of Data
Pages	401-412
Number of pages	12
DOIs	https://doi.org/10.1145/1247480.1247526
Publication status	Published - 30 Oct 2007
Event	SIGMOD 2007: ACM SIGMOD International Conference on Management of Data - Beijing, China Duration: 12 Jun 2007 → 14 Jun 2007

Conference

Conference	SIGMOD 2007: ACM SIGMOD International Conference on Management of Data
Country/Territory	China
City	Beijing
Period	12/06/07 → 14/06/07

Keywords

Annotations
Intensional associations
Metadata management
Queries as data

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10.1145/1247480.1247526

Cite this

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title = "Intensional associations between data and metadata",

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, arbitrary metadata and their associations, and (2) relational queries with a join mechanism augmented to permit matching of query result relations, instead of only atomic values, is an elegant way to uniformly query across data and metadata. We describe the architecture of a system we have prototyped for this purpose, demonstrate the generality of our approach and evaluate the performance of the system, in comparison with previous proposals for metadata management.",

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AB - 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, arbitrary metadata and their associations, and (2) relational queries with a join mechanism augmented to permit matching of query result relations, instead of only atomic values, is an elegant way to uniformly query across data and metadata. We describe the architecture of a system we have prototyped for this purpose, demonstrate the generality of our approach and evaluate the performance of the system, in comparison with previous proposals for metadata management.

KW - Annotations

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KW - Metadata management

KW - Queries as data

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M3 - Conference contribution

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SN - 9781595936868

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T2 - SIGMOD 2007: ACM SIGMOD International Conference on Management of Data

Y2 - 12 June 2007 through 14 June 2007

ER -

Intensional associations between data and metadata

Abstract

Conference

Keywords

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