Cerveri P, Pinciroli F
Bioengineering Department, Politecnico di Milano, Piazza Leonardo da Vinci, 32, I-20133 Milan, Italy.
J Biomed Inform. 2001 Oct;34(5):321-47. doi: 10.1006/jbin.2001.1030.
In this paper a novel approach to anatomy knowledge representation is described. The focus of the present research has been on the development of a representational framework where the conceptual level has been implemented by using hierarchical and nonhierarchical conceptual networks. This has allowed handling the demand for multiple views of anatomy (systemic and topographical views). The terminological level of the knowledge representation has been implemented by using a compositional strategy which has avoided the explicit storage of the terms used to express composite concepts. Hierarchical relations and composite concept representations have required supervision of both the inheritance and concept reconstruction. For this purpose heuristic knowledge has been stored in terms of consistency rules in the knowledge base. As proof of the capability of this system, we show how the knowledge base has been used to provide symbolic access to spatial information consisting of a reduced set of images from the Visible Human Dataset.
本文描述了一种解剖学知识表示的新方法。当前研究的重点是开发一个表示框架，其中概念层通过使用分层和非分层概念网络来实现。这使得能够处理对解剖学多视图（系统视图和局部视图）的需求。知识表示的术语层通过使用一种组合策略来实现，该策略避免了显式存储用于表达复合概念的术语。分层关系和复合概念表示需要对继承和概念重建进行监督。为此，启发式知识已根据知识库中的一致性规则进行存储。作为该系统能力的证明，我们展示了知识库如何用于提供对空间信息的符号访问，该空间信息由来自可视人数据集的一组精简图像组成。
