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US 2010/0063799 A1Published application
Process for Constructing a Semantic Knowledge Base Using a Document Corpus
OwnerPatrick William Jamiesoninventor
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OwnerPatrick William Jamiesoninventor
Estimating the term…
Related free-text documents, a corpus, are used to empirically derive a semantic knowledge base through a method in which documents are segmented into unique sentences, and then used to define sentential propositions which are arranged in a knowledge hierarchy. The method takes compound natural language sentences and transforms them to simple sentences by a process that is a part of the invention. A knowledge editor enables a domain expert using the methods of the invention to map the sentences in the corpus to sentential proposition(s). The resulting knowledge base can be used to semantically analyze documents in data mining and decision support applications, and can assist word processors or speech recognition devices. The invention is illustrated in connection with radiology reports, but it has wide applicability.
A computer assisted method for creating a semantic knowledge base for a document corpus describing physical or tangible objects, consisting of unique sentential propositions, such that a single sentential proposition represents the entire meaning of a simple or complex sentence, said method comprising the steps of:
A computer assisted method for creating a computer database mapping table consisting of associations between a sentence from a corpus and sentential propositions in a knowledge base derived from said corpus, each sentential proposition representing the meaning of all semantically equivalent simple sentences, comprising the steps of:
A knowledge editor operating a computer processor used by a domain expert comprising:
Dependencies are inferred from the claim text.