Power source roadmaps using bibliometrics and database tomography

被引:57
作者
Kostoff, RN
Tshiteya, R
Pfeil, KM
Humenik, JA
Karypis, G
机构
[1] Off Naval Res, Arlington, VA 22217 USA
[2] DDl OMNI Engn LLC, Mclean, VA 22102 USA
[3] Noesis Inc, Manassas, VA 20109 USA
[4] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA
关键词
D O I
10.1016/j.energy.2004.04.058
中图分类号
O414.1 [热力学];
学科分类号
摘要
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.
引用
收藏
页码:709 / 730
页数:22
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