Probabilistic resource space model for managing resources in cyber-physical society

Hai Zhuge, Yunpeng Xing

Research output: Contribution to journalArticlepeer-review


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 multi-dimensional classification space. It supports generalization and specialization on multi-dimensional 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.
Original languageEnglish
Article number1
Pages (from-to)404-421
Number of pages17
JournalIEEE Transactions on Services Computing
Issue number3
Publication statusPublished - 24 Feb 2012

Bibliographical note

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  • nonrelational data model
  • cyber-physical society
  • semantic link network
  • resource space model
  • resource management
  • faceted navigation
  • cyber-physical-socio services


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