MMS: Using queries as data values for metadata management

Divesh Srivastava; Yannis Velegrakis

doi:10.1109/ICDE.2007.369043

MMS: Using queries as data values for metadata management

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

We demonstrate MMS, a system for storing and managing a variety of metadata in a simple, elegant and uniform way. The system is based on two observations. First, that the relational model augmented with queries as data values is a natural way to uniformly model data, arbitrary metadata and their association. Second, that 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.

Original language	English
Title of host publication	23rd International Conference on Data Engineering, ICDE 2007
Pages	1481-1482
Number of pages	2
DOIs	https://doi.org/10.1109/ICDE.2007.369043
Publication status	Published - 24 Sept 2007
Event	23rd International Conference on Data Engineering, ICDE 2007 - Istanbul, Turkey Duration: 15 Apr 2007 → 20 Apr 2007

Conference

Conference	23rd International Conference on Data Engineering, ICDE 2007
Country/Territory	Turkey
City	Istanbul
Period	15/04/07 → 20/04/07

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10.1109/ICDE.2007.369043

Cite this

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title = "MMS: Using queries as data values for metadata management",

abstract = "We demonstrate MMS, a system for storing and managing a variety of metadata in a simple, elegant and uniform way. The system is based on two observations. First, that the relational model augmented with queries as data values is a natural way to uniformly model data, arbitrary metadata and their association. Second, that 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.",

author = "Divesh Srivastava and Yannis Velegrakis",

year = "2007",

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doi = "10.1109/ICDE.2007.369043",

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AB - We demonstrate MMS, a system for storing and managing a variety of metadata in a simple, elegant and uniform way. The system is based on two observations. First, that the relational model augmented with queries as data values is a natural way to uniformly model data, arbitrary metadata and their association. Second, that 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.

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M3 - Conference contribution

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BT - 23rd International Conference on Data Engineering, ICDE 2007

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ER -

MMS: Using queries as data values for metadata management

Abstract

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