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Detecting semantic errors in text using ontology-based extraction rules

  • US 9,442,917 B2
  • Filed: 07/11/2014
  • Issued: 09/13/2016
  • Est. Priority Date: 07/11/2013
  • Status: Active Grant
First Claim
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1. A computer-implemented method for automatically detecting semantic errors in a natural language text document using ontology-based extraction rules, the method comprising:

  • inputting to a computer the natural language text document;

    storing the ontology-based extraction rules in the computer, wherein the ontology-based extraction rules express formal logical relationships between classes and properties of an ontology for a predefined knowledge domain of relevance to the natural language text document, wherein the ontology-based extraction rules comprise extraction rules that express logically correct relationships between the classes and properties of the ontology, and wherein the ontology-based extraction rules comprise extraction rules that express logically incorrect relationships between the classes and properties of the ontology;

    matching by the computer sentences in the natural language text document with the ontology-based extraction rules to identify logically correct and incorrect statements in the natural language text document;

    outputting from the computer a list of the logically correct and incorrect statements in the natural language text document.

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