Power source roadmaps using bibliometrics and database tomography

R. N. Kostoff; R. Tshiteya; K. M. Pfeil; J. A. Humenik; G. Karypis

doi:10.1016/j.energy.2004.04.058

Power source roadmaps using bibliometrics and database tomography

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

Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

59 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 language	English (US)
Pages (from-to)	709-730
Number of pages	22
Journal	Energy
Volume	30
Issue number	5
DOIs	https://doi.org/10.1016/j.energy.2004.04.058
State	Published - 2005

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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.",

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AU - Tshiteya, R.

AU - Pfeil, K. M.

AU - Humenik, J. A.

AU - Karypis, G.

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AB - 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.

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Power source roadmaps using bibliometrics and database tomography

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