Workshop on "Knowledge Grid and Grid Intelligence"

October 13, 2003, Halifax, Canada

http://www.comp.hkbu.edu.hk/~william/KGGI03/index.html

In conjunction with 2003 IEEE/WIC International Conference on
Web Intelligence / Intelligent Agent Technology

http://www.comp.hkbu.edu.hk/WI03
http://www.comp.hkbu.edu.hk/IAT03

The Grid Computing has evolved from the earlier days of merely
sharing distributed resources for solving big computational tasks
to the latest trend of developing the Grid as a service-oriented
architecture to support transparent and reliable distributed
systems integration. Thanks to its recent marriage with Web Services
and the Semantic Web. While the Semantic Web + Web Services
emphasizes on the interoperability of different on-line systems,
the Grid complements it by providing the infrastructure to handle
large-scale distributed enterprises information systems.

We envision that the success of using the Grid for distributed
system integration will reply on how to have the resources of
the Grid, with its increasing scale and complexity, well managed.
``Grid intelligence'' refers to a newly emerging research field
focusing on how the data and information available on different
levels of Grid services (e.g., HTML/XML/RDF/... documents,
hyperlinks, Web usage, service response time, service quality, ...)
can be carefully acquired, preprocessed, represented, interchanged,
integrated and eventually converted into unique intelligences
(knowledge) -- to enhance the overall Grid performance. Related
research issues include intelligent mechanisms for resource specification,
discovery, brokering/matchmaking, scheduling, negotiation, etc.
Agent-based technologies address the autonomy, socialablity, adaptability
and goal-driven properties of software systems and thus provide the most
suitable computing paradigm for the dynamically changing Grid environment.

As higher-level knowledge is going to play a more important role in
the future Grid applications (e.g., e-science, e-business), issues
related to knowledge representation, discovery, integration,
interchange of different types of media in a distributed environment
have to be carefully addressed. Related Web intelligence techniques
including 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 Grid and Computational Grid can integrated with the "Knowledge
Grid", making a lot of used-to-be complicated and computationally
expensive tasks truly just-in-time and on-demand.

Some related areas are listed as but not limited to:

- Web intelligence solutions for knowledge grids
- Data/Information/Knowledge Grids integration, mediation and middleware
- Knowledge representation and ontology learning
- Data mining and knowledge discovery in distributed datasets
- Text and multimedia content analysis and indexing
- Semantic Web mining and metadata generation
- Semantically interoperable Web services
- Knowledge management in Grid environment
- Agent-based Workflow systems
- Applications in e.g., e-science (computation, visualization),
  e-business (distributed system integration)
- Agent architectures on and for the Grid
- Agent decision making model
- Self-organizing systems and emergent organization
- Distributed problem solving on the grids
- Distributed coordination
- Collective, self-organized intelligence
- Modeling and characterization of agent dynamics
- Coalition formation
- Conflicts, conflict resolution and negotiation
- Grid service and policy semantics and ontologies
- Grid service creation, advertisement, registration,
  contract creation, delivery
- Robust/automonic/self-organized mechanisms for Grid service
  discovery, matchmaking, scheduling and resource management
- Computational economy
- Online negotiation of access to Grid services
- Grid service usage policy management and enforcement
- Dynamic formation and management of virtual organizations in Grid
- Security, privacy and agents

Important Dates:

September 1, 2003       Deadline for submission of papers
September 14, 2003      Notification of acceptance
September 26, 2003      Final copy due
October 13, 2003        Workshop

Submissions:

Submitted papers should be formatted in the style of IEEE-Computer Society
Format:
http://www.computer.org/cspress/instruct.htm
The page limit for the final version is 12 pages.  We only accept
electronic
submissions. Please send your manuscripts in PDF format to the program
chairs:

Program Chairs:

Dr. William Kwok-Wai Cheung
Hong Kong Baptist University
Hong Kong
Email: [log in to unmask]

Dr. Yiming Ye
IBM T.J. Watson Research Center
USA
Email: [log in to unmask]

Program Committee: (tentative)

Mark A. Baker, University of Portsmouth, UK
Jim Blythe, University of Southern California, USA
Yike Guo, Imperial College, UK
Chun-Nan Hsu, Academia Sinica Taiwan, Taiwan
Borys Omelayenko, Free University, the Netherlands
Domenico Talia, University of Calabria, Italy
Raymond Wong, University of New South Wales, Australia
Wlodek Zadrozny, IBM T.J. Watson Research Center, USA
Hai Zhuge, Chinese Academy of Sciences, China






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