Gabrieli E R
Stud Health Technol Inform. 1993;6:81-5.
This paper briefly summarizes the characteristics of a computer-based medical terminology constructed by the author. Its size is around 140,000, systematized by meaning using a single attribute as key: similarity among instances covered by the term. This systematization resulted in a single hierarchical tree. Initial term typing was based on the knowledge patterns of the terms, represented by the arcs (relationships) among terms (nodes). Six different types of medical terms could be identified. For coding of a medical term, its position on the hierarchical tree was used, the semantic address. It is recommended that the semantic address should be used for worldwide compatibility.
本文简要总结了作者构建的基于计算机的医学术语的特点。其规模约为14万条，通过使用单一属性作为关键依据按意义进行系统化：术语所涵盖实例之间的相似性。这种系统化产生了一棵单一的层次树。初始术语分类基于术语的知识模式，由术语（节点）之间的弧（关系）表示。可以识别出六种不同类型的医学术语。对于医学术语的编码，使用其在层次树上的位置，即语义地址。建议使用语义地址以实现全球兼容性。
