Kostoff RN, Toothman DR, Eberhart HJ, Humenik JA "Text mining using database tomography and bibliometrics: A review "TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 68 (3): 223-253 NOV 2001
Eugene Garfield
garfield at CODEX.CIS.UPENN.EDU
Thu Jan 10 16:16:38 EST 2002
R.N. Kostoff : E-mail: kostofr at onr.navy.mil
TITLE : Text mining using database tomography and bibliometrics: A review
AUTHORS : Kostoff RN, Toothman DR, Eberhart HJ, Humenik JA
JOURNAL : TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 68(3):223-253 NOV 2001
Document type: Review Language: English Cited References: 27 Times
Cited: 0
Abstract:
Database tomography (DT) is a textual database analysis system consisting of
two major components: (1) algorithms for extracting multiword phrase
frequencies and phrase proximities (physical closeness of the multiword
technical phrases) from any type of large textual database, to augment (2)
interpretative capabilities of the expert human analyst. DT has been used to
derive technical intelligence from a variety of textual database sources,
most recently the published technical literature as exemplified by the
Science Citation Index (SCI) and the Engineering Compendex (EC). Phrase
frequency analysis (the occurrence frequency of multiword technical phrases)
provides the pervasive technical themes of the topical databases of
interest, and phrase proximity analysis provides the relationships among the
pervasive technical themes. In the structured published literature
databases, bibliometric analysis of the database records supplements the DT
results by identifying the recent most prolific topical area authors; the
journals that contain numerous topical area papers; the institutions that
produce numerous topical area papers; the keywords specified most frequently
by the topical area authors; the authors whose works are cited most
frequently in the topical area papers; and the particular papers and
journals cited most frequently in the topical area papers. This review paper
summarizes: (1) the theory and background development of DT; (2) past
published and unpublished literature study results; (3) present application
activities; (4) potential expansion to new DT applications. In addition,
application of DT to technology forecasting is addressed. (C) 2001 Elsevier
Science Inc. All rights reserved.
Author Keywords:
database tomography, text mining, bibliometrics, innovation, information
retrieval, information extraction, cluster, taxonomies
Addresses:
Kostoff RN, Off Naval Res, 800 N Quincy St, Arlington, VA 22217 USA
Off Naval Res, Arlington, VA 22217 USA
RSIS Inc, Mclean, VA 22102 USA
NOESIS Inc, Manassas, VA USA
Publisher:
ELSEVIER SCIENCE INC, NEW YORK
IDS Number:
498UT
ISSN:
0040-1625
Cited Author Cited Work Volume Page Year
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LOTKA AJ J WASH ACAD SCI 16 1926
MACROBERTS M SCIENTOMETRICS 36 1996
SMALHEISER NR ARCH GEN PSYCHIAT 55 1998
SMALHEISER NR COMPUT METHODS PROGR 57 1998
SMALHEISER NR NEUROSCI RES COMMUN 15 1994
SWANSON DR ARTIF INTELL 91 1997
SWANSON DR COMPUTER ASSISTED SE 217 1999
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Eugene Garfield, Ph.D. E-mail: mailto:garfield at codex.cis.upenn.edu Web site:
http://www.eugenegarfield.org
Telephone: (215)243-2205 Fax: (215)387-1266
Past President, American Society for Information Science & Technology
http://www.asis.org
Chairman Emeritus, Institute for Scientific Information ( ISI),
http://www.isinet.com 3501 Market St , Philadelphia, PA 19104-3389,
Pres.,Ed.-in-Chief, The Scientist, http://www.the-scientist.com 3535 Market
St , Philadelphia, PA 19104-3385,
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