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Probabilistic Resource Space Model for Managing Resources in Cyber-Physical Society
Third Quarter 2012 (vol. 5 no. 3)
pp. 404-421
Hai Zhuge, Chinese Academy of Sciences, Beijing and Southwest University, China
Yunpeng Xing, Chinese Academy of Sciences, Beijing and Southwest University, China
Classification is the most basic method for organizing resources in the physical space, cyber space, socio space, and mental space. To create a unified model that can effectively manage resources in different spaces is a challenge. The Resource Space Model RSM is to manage versatile resources with a multidimensional classification space. It supports generalization and specialization on multidimensional classifications. This paper introduces the basic concepts of RSM, and proposes the Probabilistic Resource Space Model, P-RSM, to deal with uncertainty in managing various resources in different spaces of the cyber-physical society. P-RSM's normal forms, operations, and integrity constraints are developed to support effective management of the resource space. Characteristics of the P-RSM are analyzed through experiments. This model also enables various services to be described, discovered, and composed from multiple dimensions and abstraction levels with normal form and integrity guarantees. Some extensions and applications of the P-RSM are introduced.
Index Terms:
Probabilistic logic,Data models,Biological system modeling,Extraterrestrial phenomena,Computational modeling,XML,Semantics,cyber-physical-socio services.,Cyber-physical society,faceted navigation,nonrelational data model,resource management,resource space model,semantic link network
Citation:
Hai Zhuge, Yunpeng Xing, "Probabilistic Resource Space Model for Managing Resources in Cyber-Physical Society," IEEE Transactions on Services Computing, vol. 5, no. 3, pp. 404-421, Third Quarter 2012, doi:10.1109/TSC.2011.12
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