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Proceedings Paper

Graphics-based intelligent search and abstracting using data modeling
Author(s): Holger M. Jaenisch; James W. Handley; Carl T. Case; Claude G. Songy
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Paper Abstract

This paper presents an autonomous text and context-mining algorithm that converts text documents into point clouds for visual search cues. This algorithm is applied to the task of data-mining a scriptural database comprised of the Old and New Testaments from the Bible and the Book of Mormon, Doctrine and Covenants, and the Pearl of Great Price. Results are generated which graphically show the scripture that represents the average concept of the database and the mining of the documents down to the verse level.

Paper Details

Date Published: 15 November 2002
PDF: 12 pages
Proc. SPIE 4788, Photonic Devices and Algorithms for Computing IV, (15 November 2002); doi: 10.1117/12.451550
Show Author Affiliations
Holger M. Jaenisch, SPARTA, Inc. (United States)
James W. Handley, SPARTA, Inc. (United States)
Carl T. Case, SPARTA, Inc. (United States)
Claude G. Songy, SPARTA, Inc. (United States)


Published in SPIE Proceedings Vol. 4788:
Photonic Devices and Algorithms for Computing IV
Khan M. Iftekharuddin; Abdul Ahad S. Awwal, Editor(s)

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