Power source roadmaps using bibliometrics and database tomography

R. N. Kostoff, R. Tshiteya, K. M. Pfeil, J. A. Humenik, George Karypis

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

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 multiword 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/journal/institution/country publication and citation data. Published by Elsevier Ltd.

Original languageEnglish (US)
Pages (from-to)709-730
Number of pages22
JournalEnergy
Volume30
Issue number5
DOIs
StatePublished - Jan 1 2005

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