Collaborating Semantic Link Network with Resource Space Model

نویسندگان

  • Yunpeng Xing
  • Jie Liu
  • Xiaoping Sun
  • Erlin Yao
چکیده

The Semantic Link Network model SLN and Resource Space Model RSM are semantic models proposed separately for effectively specifying and managing versatile resources across the Internet. Collaborating the relational semantics of SLN with the classification semantics of the RSM can support richer semantic modeling in applications. This paper introduces the Resource Class Hierarchies into the SLN and investigates to cooperatively model with the RSM. The proposed approach can be used as a normalized semantic overlay of the Knowledge Grid environment.

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تاریخ انتشار 2005