Science and Technology Text Mining: Nonlinear Dynamics

Abstract

Database Tomography (DT) is a textual database analysis system consisting of two major components: 1) algorithms for extracting multi-word phrase frequencies and phrase proximities (physical closeness of the multi-word technical phrases) from any type of large textual database, to augment 2) interpretative capabilities of the expert human analyst. DT was used to derive technical intelligence from an Nonlinear Dynamics database extracted from the combined Science Citation Index (SCI)/ Social Science Citation Index (SSCI), hereafter referred to as SCI. Phrase frequency analysis by the technical domain experts provided the pervasive technical themes of the Nonlinear Dynamics database, and the phrase proximity analysis provided the relationships among the pervasive technical themes. Bibliometric analysis of the Nonlinear Dynamics literature supplemented the DT results with author/ journal/ institution publication and citation data.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2004
Accession Number
ADA420998

Entities

People

  • Michael F. Shlesinger
  • Rene Tshiteya
  • Ronald Neil Kostoff

Organizations

  • Office of Naval Research

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Control Systems
  • Difference Equations
  • Fluid Dynamics
  • Fluid Flow
  • Information Science
  • Mathematical Filters
  • Mathematical Models
  • Molecular Dynamics
  • Nonlinear Dynamics
  • Physics Laboratories
  • Resonant Frequency
  • Semiconductors
  • Standing Waves
  • Turbulent Mixing

Readers

  • Computational Linguistics
  • Technical Research and Report Writing.