Latest News:

(Oct 1, 2003) Final program is ready and can be found here.

(Sept 26, 2003) For registration, please go to and click the registration option.

(Sept 25, 2003) The list of accepted papers can be found here.

(Sept 2, 2003) The submission deadline has been extended to Sept 8, 2003 and the notification date to Sept 19, 2003. We have received confirmation from the WI/IAT conference chairs that authors of the accepted workshop papers can register on or before Sept 22, 2003 at the early registration rate.

(Aug 27, 2003) The best papers of this workshop will be considered for publishing in a special issue of Computational Intelligence - An International Journal.

Grid Computing is evolving from the merely sharing of distributed resources for large computational tasks to the developing of Grid as a service-oriented architecture for transparent and reliable distributed system integration. The paradigm of Grid computing complements the current approach of Semantic Web and Web Services by providing an infrastructure to handle large-scale distributed enterprise information systems.

We envision that the success of using Grid for distributed system integration will rely on how to have the heterogeneous resources of the Grid, with its increasing scale and complexity, well managed. ``Grid intelligence'' refers to an emerging research field that addresses on how the data and information available at different levels of Grid services (e.g., HTML/XML/RDF/OWL ... documents, Web usage, service response time, and service quality, etc) can be effectively acquired, preprocessed, represented, interchanged, integrated and eventually converted into useful intelligences (knowledge).

As higher-level knowledge is going to play a more important role in the future Grid applications, issues related to the representation, discovery, and integration of knowledge and the interchange of different types of media in a distributed environment have to be carefully addressed. Related Web intelligence techniques such as data mining and knowledge discovery, text and multimedia content analysis, semantic information extraction and integration, ontology engineering, etc can be applied. We believe that eventually the Data and Computational Grid can be integrated with the "Knowledge Grid", making a lot of complicated and computationally expensive tasks easier and on-demand.

The purpose of this workshop is to bring researchers and practitioners to identify and explore the issues, opportunities, and solutions for Knowledge Grid and Grid Intelligence. It will provide a forum for free exchange of ideas and will be featured by invited talks and refereed paper presentations. Authors are invited to submit regular papers, reports on work in progress, and position papers. Appropriate topics for papers include, but are not limited to, the following:

Important Dates:

September 8, 2003 Deadline for submission of papers (extended)
September 19, 2003 Notification of acceptance
September 26, 2003 Final copy due
October 13, 2003 Workshop


All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity. Submitted papers should be formatted in the style of IEEE-Computer Society Format:
The page limit for the final version is 15 pages. We only accept electronic submissions. Please email your manuscripts in PDF format to the program chairs:


The workshop notes, comprising all accepted papers, will be published in the workshop proceedings. Furthermore, a selected subset of the workshop, after re-reviewing, will be published in a special issue of Computational Intelligence - An International Journal.

Program Chairs:

Dr. William Kwok-Wai Cheung
Hong Kong Baptist University
Hong Kong
Email: william(AT)comp .hkbu .edu .hk

Dr. Yiming Ye
IBM T.J. Watson Research Center
Email: yiming(AT)watson . ibm .com

Program Committee:

Mark A. Baker, University of Portsmouth, UK
Jim Blythe, University of Southern California, USA
Mario Cannataro, University "Magna Gręcia" of Catanzaro, Italy
Naoki Fukuta, Shizuoka University, Japan
Yike Guo, Imperial College, UK
Chun-Nan Hsu, Academia Sinica Taiwan, Taiwan
James Kaufman, IBM Almaden Research Center, USA
Carl Kesselman, University of Southern California, USA
Enrico Motta, The Open University, UK
Wolfgang Nejdl, Universitat Hannover, Germany
Borys Omelayenko, Free University, the Netherlands
Omer Rana, Cardiff University, UK
Heiner Stuckenschmidt, Vrije Universiteit Amsterdam, the Netherlands
York Sure, University of Karlsruhe, Germany
Domenico Talia, University of Calabria, Italy
Christopher A. Welty, IBM Watson Research Center, USA
Raymond Wong, University of New South Wales, Australia
Xun Yi, Nanyang Technological University, Singapore
Wlodek Zadrozny, IBM T.J. Watson Research Center, USA
Hai Zhuge, Chinese Academy of Sciences, China