From mlittman@cs.rutgers.edu Thu Sep 4 15:12:34 2003 From: mlittman@cs.rutgers.edu (Michael L. Littman) Date: Thu, 4 Sep 2003 10:12:34 -0400 (EDT) Subject: [KP] [bulkmail@Comp.HKBU.Edu.HK: CFP: Workshop on Knowledge Grid and Grid Intelligence (Deadline Sept 1, 2003)] Message-ID: <200309041412.h84ECYs15992@porthos.rutgers.edu> Hi all, I know some of us (including me and Jason and Rich) had been thinking about grid computing as a compelling application for the knowledge plane concept. I saw this announcement about "Knowledge Grid" and it seemed like something we should find out more about! -Michael ------- Start of forwarded message ------- Date: Fri, 22 Aug 2003 10:07:49 +0800 (CST) From: Call-For-Paper To: Call-For-Paper Reply-To: not-for-mail@Comp.HKBU.Edu.HK Subject: CFP: Workshop on Knowledge Grid and Grid Intelligence (Deadline Sept 1, 2003) X-Spam-Status: No, hits=3.4 required=5.0 tests=DATE_IN_PAST_12_24,FROM_AND_TO_SAME_2,SPAM_PHRASE_01_02 version=2.43 X-Spam-Level: *** [Due to a server problem, we apologize if you receive multiple copies of this message.] ***************** 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 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 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/... 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: - - 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 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 on grid - - 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 on grid - - Online negotiation of access to grid services - - Grid service usage policy management and enforcement - - Dynamic formation and management of virtual organizations in grid - - Privacy and security issues for data grid and knowledge grid 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: 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: http://www.computer.org/cspress/instruct.htm 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: Publication: The workshop notes, comprising all accepted papers, will be published in the workshop proceedings. Furthermore, we may also publish a book volume or/and a journal special issue based on a selected subset of the papers of the workshop. Program Chairs: Dr. William Kwok-Wai Cheung Hong Kong Baptist University Hong Kong Email: william@comp.hkbu.edu.hk Dr. Yiming Ye IBM T.J. Watson Research Center USA Email: yiming@watson.ibm.com Program Committee: Mark A. Baker, University of Portsmouth, UK Jim Blythe, University of Southern California, USA Mario Cannataro, University "Magna Graecia" 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 ------- End of forwarded message ------- From braden@ISI.EDU Fri Sep 12 19:41:29 2003 From: braden@ISI.EDU (Bob Braden) Date: Fri, 12 Sep 2003 11:41:29 -0700 (PDT) Subject: [KP] SIGCOMM presentation on the Knowledge Plane Message-ID: <200309121841.LAA21137@gra.isi.edu> Dave Clark's SIGCOMM presentation slides on the Knowledge Plane are now up on the www.isi.edu/know-plane web page, along with the paper itself. Bob Braden From dpzonline@hotmail.com Sun Sep 28 15:23:30 2003 From: dpzonline@hotmail.com (Durga Prasad Pandey) Date: Sun, 28 Sep 2003 19:53:30 +0530 Subject: [KP] Global state? Message-ID:

Hi Folks,

I would like to understand what 'maintaining global state' means in the context of KP. How is it to be implemented practically. I understand that the understanding on this might be in an initial stage right now, but is there any example/analogy to understand it?


Durga Prasad Pandey

Assistant Online Editor, ACM Crossroads
www.acm.org/crossroads/
 

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