Automatically building a knowledge base through natural language text analysis
Julia E. Hodges, José Luis Córdova · International Journal of Intelligent Systems · 1993
The knowledge representation and acquisition system described in this article is one of two major components in a project intended to provide expert systems with the ability to build and update their own knowledge bases by processing natural language technical material that is in machine-readable form. the particular aspect of the system described in this article is the building of an initial knowledge base using only syntactic structures (which include semantic information about domain-dependent object classes) provided by the natural language processing component and a schema-like description of the knowledge base. Descriptions of the knowledge structures that make up the knowledge base and the approach used to extract the appropriate information from the syntactic structures are provided. the approach taken during the development of the knowledge representation and acquisition component was motivated by two key factors: keeping the algorithms as general (i.e., domain independent) as possible, and making the process as fully automated as possible. the little human intervention that has been used has been limited to certain stages of the natural language processing. © 1993 John Wiley & Sons, Inc.