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  1. Proceedings of the ACM first workshop on CyberInfrastructure: information management in eScience (CIMS '07)
  2. Metadata management for federated databases
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A volcano erupts: semantically mediated integration of heterogeneous volcanic and atmospheric data
A conceptual modeling and execution framework for process based scientific applications
SLOQUE: slot-based query expansion for complex questions
Measuring referential integrity in distributed databases
ChemXSeer: a digital library and data repository for chemical kinetics
Metadata management for federated databases
Effective ranked conceptual retrieval
Perfect hash functions for large dictionaries
Towards a SOA infrastructure for statistically analysing public health data
RDF data exploration and visualization
Management and preservation of research data with iRODS

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Metadata management for federated databases

Content Provider ACM Digital Library
Author García-García, Javier Ordonez, Carlos Chen, Zhibo
Abstract A federated database consists of several loosely integrated databases, where each database may contain hundreds of tables and thousands of columns,interrelated by complex foreign key relationships. In general, there exists a lot of semistructured data elements outside the database represented by documents (files), created and updated by multiple users and programs. Documents have references to multiple databases and subsets of their tables and columns. Manually tracking which specific tables and columns are referred to by a document, accessed by a specific program or user is a daunting task. With such a goal in mind, we present a system that builds metadata models for a federated database using a relational database as a central object type and metadata repository. Metadata includes table and columns coming from logical data models corresponding to each database, as well as documents representing external semistructured data sources. SQL statements assemble metadata and data types to create objects and relationships as relational tables for easy querying. We discuss potential applications in federated scientific databases.
Starting Page 31
Ending Page 38
Page Count 8
File Format PDF
ISBN 9781595938312
DOI 10.1145/1317353.1317361
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-11-09
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Repository Metadata Interoperability
Content Type Text
Resource Type Article
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