Document (#18002)

Author

Kostoff, R.N.
Eberhart, H.J.
Toothman, D.R.

Title

Database tomography for information retrieval

Source

Journal of information science. 23(1997) no.4, S.301-311.

Year

1997

Abstract

Database tomography is an information extraction and analysis system which operates on textual databases. Its primary use to date has been to idetify pervasive technical trends and themes, and the interrelationships among these main algorithmic components are multiword phrase frequency analysis and phrase proximity analysis. Shows how database tomography can be used to enhance information retrieval from large textual databases through the newly developed process of simulated nucleation. Discusses the principles of simulated nucleation and the advantages for information retrieval. Describes an application involving the development, from Science Citation Index and Engineering Compendex, a database of periodical articles focused on near Earth space and technology

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