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Foundations of Knowledge Base Management - Contributions from Logic, Databases, and Artificial Intelligence Applications (Paperback, Softcover reprint of the original 1st ed. 1989)
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Foundations of Knowledge Base Management - Contributions from Logic, Databases, and Artificial Intelligence Applications (Paperback, Softcover reprint of the original 1st ed. 1989)
Series: Topics in Information Systems
Expected to ship within 10 - 15 working days
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In the past, applied artificial intelligence systems were built
with particular emphasis on general reasoning methods intended to
function efficiently, even when only relatively little
domain-specific knowledge was available. In other words, AI
technology aimed at the processing of knowledge stored under
comparatively general representation schemes. Nowadays, the focus
has been redirected to the role played by specific and detailed
knowledge, rather than to the reasoning methods themselves. Many
new application systems are centered around knowledge bases, i. e.,
they are based on large collections offacts, rules, and heuristics
that cap ture knowledge about a specific domain of applications.
Experience has shown that when used in combination with rich
knowledge bases, even simple reasoning methods can be extremely
effective in a wide variety of problem domains. Knowledge base
construction and management will thus become the key factor in the
development of viable knowledge-based ap plications. Knowledge Base
Management Systems (KBMSs) are being proposed that provide
user-friendly environments for the construction, retrieval, and
manipUlation of large shared knowledge bases. In addition to
deductive reasoning, KBMSs require operational characteristics such
as concurrent access, integrity maintenance, error recovery,
security, and perhaps distribution. For the development ofKBMSs,
the need to integrate concepts and technologies from different
areas, such as Artificial Intel ligence, Databases, and Logic, has
been widely recognized. One of the central issues for KBMSs is the
framework used for knowledge representation-semantic networks,
frames, rules, and logics are proposed by the AI and logic
communities."
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