A novel application of data modeling for extracting mathematical ontologies and relationship matrix features from text documents

Holger M. Jaenisch; James W. Handley; Jeffery P. Faucheux; Kenneth Lamkin

doi:10.1117/12.626666

19 May 2005 A novel application of data modeling for extracting mathematical ontologies and relationship matrix features from text documents

Holger M. Jaenisch, James W. Handley, Jeffery P. Faucheux, Kenneth Lamkin

Author Affiliations +

Proceedings Volume 5805, Enabling Technologies for Simulation Science IX; (2005) https://doi.org/10.1117/12.626666
Event: Defense and Security, 2005, Orlando, Florida, United States

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, James W. Handley, Jeffery P. Faucheux, and 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); https://doi.org/10.1117/12.626666

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