Extracting and sharing knowledge from medical texts

被引：19

作者：

Cao, CG ^{[1
]}

机构：

[1] Chinese Acad Sci, Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100080, Peoples R China

来源：

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY | 2002年 / 17卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Encyclopedia of China; knowledge acquisition; high-level conceptual language; knowledge compilation; IO-model;

D O I：

10.1007/BF02947307

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, we have been developing a new framework for acquiring medical knowledge from Encyclopedic texts. This framework consists of three major parts. The first part is an extended high-level conceptual language (called HLCL 1.1) for use by knowledge engineers to formalize knowledge texts in an encyclopedia. The other part is an HLCL 1.1 compiler for parsing and analyzing the formalized texts into knowledge models. The third part is a set of domain-specific ontologies for sharing knowledge.

引用

页码：295 / 303

页数：9

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