Extracting and sharing knowledge from medical texts

  • Authors:
  • Cao Cungen

  • Affiliations:
  • Laboratory of Intelligent Information Processing, Institute of Computing Technology The Chinese Academy of Sciences, Beijing 100080, P.R. China

  • Venue:
  • Journal of Computer Science and Technology
  • Year:
  • 2002

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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.