19 May 2005 A novel application of data modeling for extracting mathematical ontologies and relationship matrix features from text documents
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Abstract
This paper presents a novel algorithm for extracting Who, Where, When, What, How, and Why information directly from text documents without the use of dictionaries. Our process converts text into mathematical representation and uses purely equation and functional based relationships to make all classification decisions. Applications include requirements matching, hypothesis generation, data mining, document summarization, and document understanding.
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Holger M. Jaenisch, Holger M. Jaenisch, James W. Handley, James W. Handley, Jeffery P. Faucheux, Jeffery P. Faucheux, Kenneth Lamkin, Kenneth Lamkin, } "A novel application of data modeling for extracting mathematical ontologies and relationship matrix features from text documents", Proc. SPIE 5805, Enabling Technologies for Simulation Science IX, (19 May 2005); doi: 10.1117/12.626666; https://doi.org/10.1117/12.626666
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