SEGEDMA: Sensor grid enhancement data management system for Health Care computing
Expert Systems with Applications: An International Journal
The DISTARNET approach to reliable autonomic long-term digital preservation
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
Ubiquitous Healthcare Computing with Sensor Grid Enhancement with Data Management System (SEGEDMA)
Journal of Medical Systems
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This paper outlines the research, development, and implementation plans for the Cheshire system as part of an overall digital library framework. Our plans are based on developing a high-level component framework extensible and flexible enough to accommodate radically different architectural models; one which supports large-scale preservation environments characteristic of content management systems such as DSpace and Fedora; and the support for semantic retrieval and natural language processes involving large-scale distributed datasets, served in a highly parallel environment. Rather than prototyping a single solution, we intend to follow a modular approach with a variety of text and data mining, ontological, document rendering, and text retrieval tools which can be used in various combinations according to need, in essence, the Cheshire digital library framework is designed to address the twin aspects of access and preservation in new and sustainable ways.