Agent based data management in digital libraries

Authors:
Yanyan Yang;Omer F. Rana;David W. Walker;Christos Georgousopoulos;Giovanni Aloisio;Roy Williams
Affiliations:
Department of Computer Science, Cardiff University, CF10 3XQ Cardiff, UK;Department of Computer Science, Cardiff University, CF10 3XQ Cardiff, UK;Department of Computer Science, Cardiff University, CF10 3XQ Cardiff, UK;Department of Computer Science, Cardiff University, CF10 3XQ Cardiff, UK;Department of Innovation Engineering, Engineering Faculty, University of Lecce, Via per Monteroni, 73100 Lecce, Italy;CACR, 158-79 California Institute of Technology, Pasadena, CA
Venue:
Parallel Computing - Parallel data-intensive algorithms and applications
Year:
2002

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Abstract

Digital libraries (DLs) generally contain a collection of independently maintained data sets, in different formats, which may be queried by geographically dispersed users. A DL should enable new data sources to be dynamically added, and allow changes in content and in the schema of sources which are already part of the library, to take place. An agent based framework for managing access to data, supporting parallel queries to data repositories, and providing an XML based data model for integrating data from different repositories is outlined. Our approach utilises stationary agents which undertake specific roles, and mobile agents which can carry analysis algorithms to data repositories. We illustrate our approach with a DL of images of the Earth acquired by the space shuttle, obtained via the synthetic aperture radar, The DL described contains multi-spectral images, and text based data from various regional geographic information servers, and must support data fusion across these data sets.