Titlebook: Knowledge and Data Management in GRIDs; Domenico Talia,Angelos Bilas,Marios D. Dikaiakos Conference proceedings 2007 Springer-Verlag US 20

Oscillate

A精確的

Service Choreography for Data Integration on the Grider one. The paper focuses on the service choreography involved by elaborating on the interactions between the services, and discusses the extensions to OGSA-DQP that are required in order to make the services interoperable.

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Lethargic

Semantic Support for Meta-Scheduling in Gridsmodel we present a meta-scheduling architecture based on the VIOLA Meta-Scheduling Service that uses ontology modelling and reasoning capabilities of OWL to provide semantic support for meta-scheduling in Grids.

Diskectomy

Distributed Data Mining and Knowledge Management with Networks of Sensor Arrays three layer Grid architecture to see what implications and requirements arise that could benefit the exercise of expert judgment. After placing the specific TELEMAC situation in a generic Grids context, we present a classification approach to attributes for metadata and indicate some examples of model resource discovery.

控訴

Conference proceedings 2007wledge in dynamic distributed environments can be addressed by exploiting features offered by GRID Technologies. Current research activities are leveraging the GRID for the provision of generic- and domain-specific solutions and services for data management and knowledge discovery...Knowledge and Da

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者變

Accessing Web Databases Using OGSA-DAI in BDWorldion for Biodiversity World, a Biodiversity Grid that specialises in extracting knowledge from correlating a plethora of distributed heterogeneous data sources accesible via the Web in the study of biodiversity patterns.

Veneer

A Metadata Model for the Discovery and Exploitation of Scientific Studiesscientific Studies and associated datasets, ease citation, facilitate collaboration and allow the easy integration of pre-Grid metadata into a common Grid/e-Science enabled scientific information platform. In this paper, we describe a science metadata model developed at CCLRC, with its motivation, overall design, usage and future development.

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