Semantic interpretation and knowledge extraction

  • Authors:
  • Fernando Gomez;Carlos Segami

  • Affiliations:
  • School of Computer Science, University of Central Florida, Orlando, FL 32816, United States;Department of Mathematics and Computer Science, Barry University, Miami Shores, FL 33161, United States

  • Venue:
  • Knowledge-Based Systems
  • Year:
  • 2007

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Abstract

A system that extracts knowledge from texts is presented. It is also indicated how the inferences necessary for the extraction of knowledge can be acquired by the system from sentences entered by users. The knowledge acquisition component is grounded on a semantic interpreter of English based on an enhanced WordNet. An evaluation of the system performance is included.