The development of a wisdom autonomic grid


Autoria(s): Brezany, Peter; Goscinski, Andrzej; Janciak, Ivan; Tjoa, A. Min
Contribuinte(s)

Liu, Jie

Zhuge, Hai

Cheung, William K.

Data(s)

01/01/2004

Resumo

It is not a simple matter to develop an integrative approach that exploits  synergies between knowledge management and knowledge discovery in   order to monitor and manage the full lifecycle of knowledge and provides  services quickly, reliably and securely. One of the main problems is the heterogeneity of the involved resources that represent knowledge. Data mining systems produce knowledge in a form meant to be understandable  to machines and on the other hand in knowledge management systems the  priority is placed on the readability and usability of knowledge by humans.  The Semantic Web is a promising platform to unify this heterogeneity and, in conjunction with novel techniques for Web Intelligence it could offer more  then just knowledge - wisdom. The Wisdom Autonomic Grid is an original proposal of a knowledge based Grid that is able to configure and reconfigure itself under varying and unpredictable conditions and optimize its working, performs something akin to healing and provides self-protection, as  visioned in the IBM Autonomic Computing initiative. This paper presents an original framework for creating advanced applications to integrate  knowledge discovery and knowledge management in the Autonomic Grid  and Web environments.<br />

Identificador

http://hdl.handle.net/10536/DRO/DU:30009626

Idioma(s)

eng

Publicador

collaboration with Beijing University of Technology by Saint Mary's University

Relação

http://dro.deakin.edu.au/eserv/DU:30009626/goscinski-thedevleopmentofa-2004.pdf

http://www.semgrid.net/Citation-Before-2006.1/KGGI04_19.pdf

Tipo

Conference Paper