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Proceedings Paper

A novel application of data modeling for extracting mathematical ontologies and relationship matrix features from text documents
Author(s): Holger M. Jaenisch; James W. Handley; Jeffery P. Faucheux; Kenneth Lamkin
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Paper 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.

Paper Details

Date Published: 19 May 2005
PDF: 12 pages
Proc. SPIE 5805, Enabling Technologies for Simulation Science IX, (19 May 2005); doi: 10.1117/12.626666
Show Author Affiliations
Holger M. Jaenisch, dtech Systems Inc. (United States)
James Cook Univ. (Australia)
James W. Handley, James Cook Univ. (Australia)
Sparta, Inc. (United States)
Jeffery P. Faucheux, Sparta, Inc. (United States)
Kenneth Lamkin, Sparta, Inc. (United States)

Published in SPIE Proceedings Vol. 5805:
Enabling Technologies for Simulation Science IX
Dawn A. Trevisani; Alex F. Sisti, Editor(s)

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