ANALYSIS AND REPRESENTATION OF NEUROANATOMICAL KNOWLEDGE
作者:
JÖRG NIGGEMANN,
期刊:
Applied Artificial Intelligence
(Taylor Available online 1990)
卷期:
Volume 4,
issue 4
页码: 309-336
ISSN:0883-9514
年代: 1990
DOI:10.1080/08839519008927953
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
ANATOM contains anatomical knowledge, using three different representation formalisms. The first is propositional representation (frames, constraints, logic), the second is a two-dimensional depictional representation (cell matrix), and the third is a three-dimensional model. Each has its own module for knowledge acquisition. The analysis of anatomical knowledge leads to meta-knowledge about the structure of anatomical knowledge. This is used to construct the knowledge acquisition tool Anatomy Description Language (ADL). Special attention is paid to the representation of the variations of the vessel system. This paper discusses the analysis of the anatomical knowledge and the propositional knowledge base and introduces briefly the concepts of depictional representation of neural fiber connections (without discussing depictional representation in general) and describes some problems of spatial inferences on three-dimensional anatomical structure.
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