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作者:

Lu, Ru-Qian (Lu, Ru-Qian.) (学者:陆汝钤) | Jin, Zhi (Jin, Zhi.)

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摘要:

Knowledge engineering stems from E. A. Figenbaum's proposal in 1977, but it will enter a new decade with the new challenges. This paper first summarizes three knowledge engineering experiments we have undertaken to show possibility of separating knowledge development from intelligent software development. We call it the ICAX mode of intelligent application software generation. The key of this mode is to generate knowledge base, which is the source of intelligence of ICAX software, independently and parallel to intelligent software development. That gives birth to a new and more general concept "knowware". Knowware is a commercialized knowledge module with documentation and intellectual property, which is computer operable, but free of any built-in control mechanism, meeting some industrial standards and embeddable in software/hardware. The process of development, application and management of knowware is called knowware engineering. Two different knowware life cycle models are discussed: the furnace model and the crystallization model. Knowledge middleware is a class of software functioning in all aspects of knowware life cycle models. Finally, this paper also presents some examples of building knowware in the domain of information system engineering.

关键词:

domain knowware knowledge engineering knowledge middleware knowware knowware engineering

作者机构:

  • [ 1 ] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
  • [ 2 ] Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
  • [ 3 ] Fudan Univ, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China
  • [ 4 ] Beijing Univ Technol, Beijing Key Lab Multimedia & Intelligent Software, Beijing 100083, Peoples R China

通讯作者信息:

  • 陆汝钤

    [Lu, Ru-Qian]Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China

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来源 :

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

ISSN: 1000-9000

年份: 2006

期: 5

卷: 21

页码: 790-799

1 . 9 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

JCR分区:4

被引次数:

WoS核心集被引频次: 2

SCOPUS被引频次: 9

ESI高被引论文在榜: 0 展开所有

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