Paper
15 November 2002 Graphics-based intelligent search and abstracting using Data Modeling
Holger M. Jaenisch, James W. Handley, Carl T. Case, Claude G. Songy
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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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Holger M. Jaenisch, James W. Handley, Carl T. Case, and Claude G. Songy "Graphics-based intelligent search and abstracting using Data Modeling", Proc. SPIE 4788, Photonic Devices and Algorithms for Computing IV, (15 November 2002); https://doi.org/10.1117/12.451550
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Data modeling

Databases

Genetic algorithms

Fractal analysis

Visualization

Associative arrays

Evolutionary algorithms

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