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Graphics-based intelligent search and abstracting using Data Modeling
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2002
Year
EngineeringIntelligent Information RetrievalGeographic Information RetrievalScriptural DatabaseInteractive SearchIntelligent SystemsAutonomous TextText MiningInformation RetrievalData ScienceData MiningText RecognitionIntelligent SearchingKnowledge DiscoveryGraphics-based Intelligent SearchComputer ScienceSearch TechniqueContext-mining AlgorithmText ProcessingDocument Processing
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.