Nonlinear Dynamics Text Mining Using bibliometrics and Database Tomography

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 Nonlinear Dynamics 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 Nonlinear Dynamics database, and the phrase proximity analysis provided the relationships among the pervasive technical themes. Bibliometric analysis of the Nonlinear Dynamics literature supplemented the DT results with author/journal/institution publication and citation data.

[1]  Ronald N. Kostoff,et al.  Electrochemical power text mining using bibliometrics and database tomography , 2002 .

[2]  Ronald N. Kostoff,et al.  Hypersonic and supersonic flow roadmaps using bibliometrics and database tomography , 1999 .

[3]  Ronald N. Kostoff,et al.  Database tomography: Origins and duplications , 1994 .

[4]  Ronald N. Kostoff,et al.  Database Tomography for Technical Intelligence: A Roadmap of the Near-Earth Space Science and Technology Literature , 1998, Inf. Process. Manag..

[5]  Ronald N. Kostoff,et al.  Database tomography for technical intelligence , 1993 .

[6]  Ronald N. Kostoff,et al.  Database tomography applied to an aircraft science and technology investment strategy , 2000 .

[7]  Ronald N. Kostoff,et al.  Text mining using database tomography and bibliometrics: A review , 2001 .

[8]  Ronald N. Kostoff,et al.  Database tomography for technical intelligence: Comparative roadmaps of the research impact assessment literature and the journal of the American Chemical Society , 1997, Scientometrics.

[9]  Michael H. MacRoberts,et al.  Problems of citation analysis , 1996, Scientometrics.

[10]  Ronald N. Kostoff,et al.  Fullerene Data Mining Using Bibliometrics and Database Tomography , 2000, J. Chem. Inf. Comput. Sci..

[11]  Eugene Garfield.  History of citation indexes for chemistry: a brief review , 1985, J. Chem. Inf. Comput. Sci..

[12]  Ronald N. Kostoff,et al.  The use and misuse of citation analysis in research evaluation , 1998, Scientometrics.

[13]  Ronald N. Kostoff,et al.  Science and technology innovation , 1999 .

[14]  Ronald N. Kostoff,et al.  Database tomography for information retrieval , 1997, J. Inf. Sci..