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Related Experiment Video

Updated: Jun 10, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Integrating distributed data sources with OGSA-DAI DQP and VIEWS.

Bartosz Dobrzelecki¹, Amrey Krause, Alastair C Hume

¹EPCC, University of Edinburgh, James Clerk Maxwell Building, Mayfield Road, Edinburgh EH9 3JZ, UK. dobrzelecki@ed.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|August 4, 2010

Summary

The Open Grid Services Architecture Data Access and Integration framework now supports federated data sources. New resources enable distributed query processing and flexible data views for customized integration solutions.

Related Experiment Videos

Last Updated: Jun 10, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Area of Science:

Computer Science
Data Management
Distributed Systems

Background:

The Open Grid Services Architecture Data Access and Integration (OGSA-DAI) framework previously lacked native support for federating distributed data sources.
Efficiently querying and integrating disparate data sources in a distributed environment presents significant challenges.

Purpose of the Study:

To introduce new OGSA-DAI resources that facilitate the creation of federated data systems.
To enhance the OGSA-DAI framework with capabilities for distributed query processing and flexible data view definition.

Main Methods:

Implementation of the OGSA-DAI Distributed Query Processing (DQP) resource to orchestrate distributed data sources.
Development of the OGSA-DAI Views resource for defining adaptable views over relational data.
Leveraging the extensibility points within the OGSA-DAI framework for customization.

Main Results:

The OGSA-DAI DQP resource enables declarative query processing across federated data sources.
The OGSA-DAI Views resource offers a flexible approach to managing relational data views.
The interoperability of DQP and Views resources enhances the framework's data integration capabilities.

Conclusions:

The latest OGSA-DAI release significantly improves distributed data access and integration by introducing DQP and Views resources.
These advancements allow for the construction of highly customized and flexible data integration solutions.
The enhanced OGSA-DAI framework supports the creation of federated data source networks.