Prior Art relating to US Patent Number 7,493,253

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This page has been set up to help collect prior art relating to US Patent Number 7,493,253 (issued to Ceusters, Werner et al. on 17-Feb-2009), which may have been missed by the inventors or by the patent examination process.

Subject Patent: US Patent No. 7,493,253 Conceptual world representation natural language understanding system and method

• Inventors: Ceusters; Werner (Zonnegem, BE), O'Donnell; Mick (Tres Cantos, ES), Montyne; Frank (Deurle, BE), Coppens; Frederik (Haaltert, BE), Van Mol; Maarten (Holsbeek, BE)
• Assignee: Language and Computing, Inc. (Bethesda, MD)
• Application No.: 10/193,886
• Filed: July 12, 2002

Assigned to:

• Date Issued: February 17, 2009.

Abstract

A Natural Language Understanding system is provided for indexing of free text

documents. The system according to the invention utilizes typographical and functional segmentation of text to identify those portions of free text that carry meaning. The system then uses words and multi-word terms and phrases identified in the free to text to identify concepts in the free text. The system uses a lexicon of terms linked to a formal ontology that is independent of a specific language to extract concepts from the free text based on the words and multi-word terms in the free text. The formal ontology contains both language independent domain knowledge concepts and language dependent linguistic concepts that govern the relationships between concepts and contain the rules about how language works. The system according to the current invention may preferably be used to index medical documents and assign codes from independent coding systems, such as, SNOMED, ICD-9 and ICD-10. The system according to the current invention may also preferably make use of syntactic parsing to improve the efficiency of the method.

The Subject Patent, along with its claims, is accessible at: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2FPTO%2Fsearch-bool.html&r=1&f=G&l=50&co1=AND&d=PTXT&s1=%22ceusters,+werner%22.INNM.&OS=IN/

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