By Topic

Information grids: managing and mining semantic data in a grid infrastructure; open issues and application to geno-medical data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

8 Author(s)
Brunie, L. ; Lab. LIRIS, National Inst. of Appl. Sci., Lyon, France ; Miquel, M. ; Pierson, J.M. ; Tchounikine, A.
more authors

Over these last eight years, computing grids have received an increasing attention both from the scientific community and the major industrial companies. Computing grids propose a very effective, economic and scalable way to build high performance infrastructures. More recently, attempts have been done to open grids to other application fields. Indeed grids appear as a promising candidate infrastructure paradigm for managing applications distributed over a MAN/WAN and designed to share information and services among users. Thus, besides computing grids, information grids and community grids are now considered with a very high interest. In this perspective, by their very demanding requirements and their socioeconomic impact, biomedical applications are certainly one of the most pertinent domain for using grids. However, grids still lack most of the data management tools mandatory to pretend to implement semantically rich applications like biomedical applications. In this position paper, we first draw a global picture of our target biomedical applications. Then, we focus on open issues regarding geno-medical information grids, i.e. regarding the management and mining of geno-medical data in distributed and heterogeneous grid infrastructures. Finally, we propose a candidate generic architecture for managing and processing geno-medical data on a grid and describe its main components.

Published in:

Database and Expert Systems Applications, 2003. Proceedings. 14th International Workshop on

Date of Conference:

1-5 Sept. 2003