Power source roadmaps using bibliometrics and database tomography
EnergyPublished 3 November 2004
Ronald N. Kostoff, Rene Tshiteya, Kirstin M. Pfeil, James A. Humenik, George Karypis
Citations76
SJR quartileQ1
SJR score2.21
SNIP2.16
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TL;DR
Database Tomography was used to derive technical intelligence from a Power Sources database derived from the Science Citation Index, and phrase proximity analysis provided the relationships among the pervasive technical themes.
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/journal/institution/country publication and citation data.
Keywords
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