Fractals text mining using bibliometrics and database tomography

被引：20

作者：

Kostoff, RN

Shlesinger, MF

Malpohl, G

机构：

[1] Off Naval Res, Arlington, VA 22217 USA

[2] Univ Karlsruhe, D-76128 Karlsruhe, Germany

来源：

FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY | 2004年 / 12卷 / 01期

关键词：

fractals; self-similarity; self-organized criticality; multi-fractal; text-mining; bibliometrics; computational linguistics;

D O I：

10.1142/S0218348X04002343

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

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 obtain technical intelligence from a Fractals database derived from the Science Citation Index/Social Science Citation Index (SCI). Phrase frequency analysis by the technical domain experts provided the pervasive technical themes of the Fractals database, and the phrase proximity analysis provided the relationships among the pervasive technical themes. Bibliometric analysis of the Fractals literature supplemented the DT results with author/journal/institution publication and citation data.

引用

页码：1 / 16

页数：16

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