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A Role for Knowledge Engineering in R&D
Author(s) -
Baker A. G.
Publication year - 1985
Publication title -
randd management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.253
H-Index - 102
eISSN - 1467-9310
pISSN - 0033-6807
DOI - 10.1111/j.1467-9310.1985.tb00526.x
Subject(s) - usable , variety (cybernetics) , computer science , knowledge management , engineering ethics , artificial intelligence , engineering , world wide web
The author distinguishes information from knowledge: information is notes, details, evidence, etc., knowledge is general laws, theories, understanding. Information Engineering (IE) is the provision of knowledge in usable form. Artificial Intelligence (Al) is the construction of computer systems that exhibit signs of intelligence. He asserts that Al has already provided methodologies that have advanced both IE and KE. The result is that IE and KE are now in the position to act as the pencil, paper and report material for R&D. Working knowledge of the languages is easily acquired and some useful empty shells are available, though the latter need more variety. Existing systems tend to be crude and may not address the right issues, e.g. emphasising probability rather than the risks associated with actions. Nevertheless the available tools are good enough to build useful expert systems for R&D. The potential of KE in education is being missed. In the author's opinion all university students should be taught to use the basic tools of knowledge engineering and apply them to their own disciplines.