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Journal of Computer Science and Technology

, Volume 17, Issue 3, pp 295–303 | Cite as

Extracting and sharing knowledge from medical texts

  • Cao Cungen Email author
Regular Papers

Abstract

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.

Keywords

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

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Copyright information

© Science Press, Beijing China and Allerton Press Inc. 2002

Authors and Affiliations

  1. 1.Laboratory of Intelligent Information Processing, Institute of Computing TechnologyThe Chinese Academy of SciencesBeijingP.R. China

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