Kostoff RN, Tshiteya R, Pfeil KM, Humenik JA, Karypis G. Power source roadmaps using bibliometrics and database tomography. Energy 30(5):709-730, Apr. 2005

Eugene Garfield garfield at CODEX.CIS.UPENN.EDU
Thu Feb 17 14:49:23 EST 2005


Kostoff R.N. : E-mail Addresses: kostofr at onr.navy.mil

Title    : Power source roadmaps using bibliometrics and database tomography

Author(s): Kostoff RN, Tshiteya R, Pfeil KM, Humenik JA, Karypis G

Source   : ENERGY 30 (5): 709-730 APR 2005

Document Type: Article Language: English Cited References: 47
Times Cited: 0

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 a Power Sources database derived from the
Science Citation Index. Phrase frequency analysis by the technical domain
experts provided the pervasive, technical themes of the Power Sources
database, and the phrase proximity analysis provided the relationships among
the pervasive technical themes. Bibliometric analysis of the Power Sources
literature supplemented the, DT results with author/joumal/institution/
country publication and citation data. Published by Elsevier Ltd.

Addresses:
Kostoff RN (reprint author), Off Naval Res, Code 35,800 N Quincy St,
Arlington, VA 22217 USA
Off Naval Res, Arlington, VA 22217 USA
DDl OMNI Engn LLC, Mclean, VA 22102 USA
Noesis Inc, Manassas, VA 20109 USA
Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA


Publisher: PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE,
KIDLINGTON, OXFORD OX5 1GB, ENGLAND
Subject Category: ENGINEERING, CHEMICAL; ENERGY & FUELS

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