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Knowledge Acquisition, Modeling and Management - 11th European Workshop, EKAW'99, Dagstuhl Castle, Germany, May 26-29, 1999, Proceedings (Paperback, 1999 ed.)
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Knowledge Acquisition, Modeling and Management - 11th European Workshop, EKAW'99, Dagstuhl Castle, Germany, May 26-29, 1999, Proceedings (Paperback, 1999 ed.)
Series: Lecture Notes in Computer Science, 1621
Expected to ship within 10 - 15 working days
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Past, Present, and Future of Knowledge Acquisition This book
contains the proceedings of the 11th European Workshop on Kno- edge
Acquisition, Modeling, and Management (EKAW '99), held at Dagstuhl
Castle (Germany) in May of 1999. This continuity and the high
number of s- missions re?ect the mature status of the knowledge
acquisition community. Knowledge Acquisition started as an attempt
to solve the main bottleneck in developing expert systems (now
called knowledge-based systems): Acquiring
knowledgefromahumanexpert. Variousmethodsandtoolshavebeendeveloped
to improve this process. These approaches signi?cantly reduced the
cost of - veloping knowledge-based systems. However, these systems
often only partially ful?lled the taskthey weredevelopedfor
andmaintenanceremainedanunsolved problem. This required a paradigm
shift that views the development process of knowledge-based systems
as a modeling activity. Instead of simply transf- ring human
knowledge into machine-readable code, building a knowledge-based
system is now viewed as a modeling activity. A so-called knowledge
model is constructed in interaction with users and experts. This
model need not nec- sarily re?ect the already available human
expertise. Instead it should provide a
knowledgelevelcharacterizationof the knowledgethat is requiredby
the system to solve the application task. Economy and quality in
system development and maintainability are achieved by reusable
problem-solving methods and onto- gies. The former describe the
reasoning process of the knowledge-based system (i. e. , the
algorithms it uses) and the latter describe the knowledge
structures it uses (i. e. , the data structures). Both abstract
from speci?c application and domain speci?c circumstances to enable
knowledge reuse.
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