Fullerene Data Mining Using Bibliometrics and Database Tomography

Abstract

Database tomography (DT) is a textual database analysis system consisting of two major components: (1) algorithms for extracting multiword 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 fullerenes database derived from the Science Citation Index and the Engineering Compendex. Phrase frequency analysis by the technical domain experts provided the pervasive technical themes of the fullerenes database, and phrase proximity analysis provided the relationships among the pervasive technical themes. Bibliometric analysis of the fullerenes literature supplemented the DT results with author/journal/institution publication and citation data. Comparisons of fullerenes results with past analyses of similarly structured near-earth space, chemistry, hypersonic/supersonic flow, aircraft, and ship hydrodynamics databases are made. One important finding is that many of the normalized bibliometric distribution functions are extremely consistent across these diverse technical domains and could reasonably be expected to apply to broader chemical topics than fullerenes that span multiple structural classes. Finally, lessons learned about integrating the technical domain experts with the data mining tools are presented.

Twenty years of global groundwater research: A Science Citation Index Expanded-based bibliometric survey (1993–2012)

“…SCI-Expanded, which indexes the world's leading journals of science and technology, is a leading and frequently used metric of scientific accomplishment in most fields of human creativity (Kostoff et al, 2000;Li et al, 2009). Series of search terms, including ''groundwater ⁄ '', ''ground water ⁄ '', ''underground water ⁄ '', ''subsurface water ⁄ '', ''subterranean water ⁄ '', ''unconfined water ⁄ '', ''confined water ⁄ '', ''artesian water ⁄ '', ''phreatic water ⁄ '', ''crack water ⁄ '', ''fracture water ⁄ '', ''fissure water ⁄ '', ''crevice water ⁄ '', ''karst water ⁄ '', ''karstic water ⁄ '', ''well water ⁄ '', and ''spring water ⁄ '' were used to locate publications that contained these words in publications' titles, abstracts, and keyword lists.…”

Database Tomography Applied to an Aircraft Science and Technology Investment Strategy

“…The fundamental papers tend to be more research-literature oriented, and are dependent on published documents, whereas the applied papers tend to be technology-product oriented , with a reduced dependence on literature precedents and acknowledgements. Also, contrast the authors who received the greatest number of citations (Ericsson-117, Johnson-97) in the Aircraft study with those who received the greatest number of citations in a similar DT and Bibliometric study performed at the Office of Naval Research (ONR) in the area of "Fullerenes" (a particular construct of carbon atoms) [Kostoff, 2000). In the case of fullerenes, one finds a significant increase in the number of total author citations (e.g., Kroto-4328, Kratschmer-3472).…”

Informetrics at the beginning of the 21st century—A review

“…Losiewicz, Oard, and Kostoff (2000) provide a detailed review of the current techniques applicable for data mining in the scientometric setting. Kostoff, Braun, Schubert, Toothman, and Humenik (2000) apply the technique called "database tomography" patented by Kostoff, Miles and Eberhardt (1995) and supplement it with more standard bibliometric techniques to analyze the research literature of fullerenes. A similar study was carried out in the areas of aircraft science and technology (Kostoff, Green, Toothman, & Humenik, 2000).…”