W. Song
A Contextual Based Semantic Modeling Approach to Task-Service Formation in Virtual Organization
Song, W.; Zhou, M.
Authors
M. Zhou
Abstract
Virtual organizations are considered to be an independent mechanism, which manages to bridge the users¿ goals and requirements to the grid/web resources and services. To form the workflow for a virtual organization we need to find a sequence of interrelated services (the grid/web resources) matched to given users¿ requirements. It is crucial to find a semantic description for virtual organizations in order to analyze various components, such as tasks, services, and resources, and hence to make virtual organization workflows through semantic matching between tasks and services. In this paper, we propose a contextual based semantic description approach to the semantic description of virtual organization components, tasks and services. The contextual information for a resource or a service or a task is the information provided in the application domains and the pre-defined (standardized) service ontology descriptions. We also propose a semantic matching theory for matching the tasks with the services.
Citation
Song, W., & Zhou, M. (2006, December). A Contextual Based Semantic Modeling Approach to Task-Service Formation in Virtual Organization. Presented at IEEE/WIC/ACM International conference on Web Intelligence, Hong Kong
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | IEEE/WIC/ACM International conference on Web Intelligence |
Start Date | Dec 18, 2006 |
End Date | Dec 22, 2006 |
Publication Date | 2006-12 |
Deposit Date | Feb 8, 2007 |
Publicly Available Date | Nov 8, 2010 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 653-656 |
Book Title | IEEE/WIC/ACM International Conference on Web Intelligence, WI 200, 18-22 December 2006, Hong Kong ; proceedings. |
DOI | https://doi.org/10.1109/wi.2006.8 |
Public URL | https://durham-repository.worktribe.com/output/1162365 |
Additional Information | Conference dates: 18-22 December 2006. |
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