Science and Technology Text Mining: Citation Mining of Dynamic Granular Systems

Abstract

Research sponsors, evaluators, managers, and performers have strong motivations in insuring that their research products reach the intended audience. Further, it is important to understand the infrastructure characteristics of the specific audience reached (names, organizations, countries). Because of the many direct and indirect pathways through which fundamental research can impact applications, identifying the user audience and the research impacts can be very complex and time consuming.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA418862

Entities

People

  • Ana M. Ramirez
  • Esther O. Garcia
  • J. A. Del Rio
  • James A. Humenik
  • Ronald Neil Kostoff

Organizations

  • Office of Naval Research

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Computational Linguistics
  • Computer Science
  • Convection
  • Data Mining
  • Databases
  • Dynamics
  • Information Science
  • Infrastructure
  • Language
  • Linguistics
  • Materials
  • Materials Science
  • Molecular Dynamics
  • Physics
  • Solar Cells
  • Text Mining

Readers

  • Economics
  • Systems Analysis and Design
  • Technical Research and Report Writing.