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Reasoning inH-net: A unified approach to intelligent hypermedia systems

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Abstract

H-net is a Petri net based formal model of hypermedia/hypertext. Being powerful in the description of hypermedia,H-net can model the information in hypermedia and the knowledge of hypermedia naturally in a unified Petri net based way. This makesH-net good for the modeling of intelligent hypermedia systems. In this paper, a unified reasoning algorithm is proposed to define the dynamic behavior ofH-net. Using the Petri net theory based algorithm, the reasoning in hypermedia information subnets, fuzzy production rule subnets and semantic subnets can be performed efficiently and uniformly.

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Yu Shengke was born in September 1968. He received his B.E. degree from Tsinghua University in July 1989, and his M.E. degree from the Computing Center, The Chinese Academy of Sciences in July 1992, both in computer science. He received his Ph.D. degree from Peking University in July 1995. His research interests include hypertext/hypermedia, knowledge engineering, and theoretical computer science.

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Yu, S. Reasoning inH-net: A unified approach to intelligent hypermedia systems. J. of Compt. Sci. & Technol. 11, 83–89 (1996). https://doi.org/10.1007/BF02943524

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  • DOI: https://doi.org/10.1007/BF02943524

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