Database tomography for technical intelligence: A roadmap of the near-earth space science and technology literature

Kostoff, Ronald N.; Eberhart, Henry J.; Toothman, Darrell Ray

doi:10.1016/s0306-4573(97)00066-6

Cited by 70 publications

(49 citation statements)

References 19 publications

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“…All are from universities. This prolific author country distribution differs radically from any in previous studies [27][28][29][30][31][32], with the high concentration from India. These prolific author countries in previous text mining studies tended to be dominated by Northern America countries (United States and Canada), the most developed Western European nations (UK, Germany, France, Italy), and the major oriental Asian countries (Japan, China, South korea).…”

Section: Author Frequency Resultscontrasting

confidence: 91%

See 1 more Smart Citation

Science and Technology Text Mining: Electric Power Sources

Kostoff¹,

Tshiteya²,

Pfeil³

et al. 2004

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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 (SCI). 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. Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. KEYWORDS:

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Section: Author Frequency Resultscontrasting

confidence: 91%

“…It differs from the previous published papers in this category [27][28][29][30][31][32] in four respects. First, the topical domain (power sources) is completely different.…”

Section: Unique Study Featurescontrasting

confidence: 69%

Science and Technology Text Mining: Electric Power Sources

Kostoff¹,

Tshiteya²,

Pfeil³

et al. 2004

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“…For databases of non-journal technical articles (Kostoff, 1991b(Kostoff, , 1993b(Kostoff, , 1993c(Kostoff, , 1994b(Kostoff, , 1994c) the final results have been identification of the pervasive technical themes of the database, the relationship among these themes, and the relationship of supporting sub-thrust areas (both high and low frequency) to the high-frequency themes. For the more recent studies in which the databases are journal article abstracts and associated bibliometric information (authors, journals, addresses, etc), the final results have also included relationships among the technical themes and authors, journals, institutions, etc (Kostoff et al, 1997b(Kostoff et al, , 1997c(Kostoff et al, , 1998a(Kostoff et al, , 1999a(Kostoff et al, , 2000a(Kostoff et al, , 2000c(Kostoff et al, , 2000g, 2001b(Kostoff et al, , 2001g, 2002a(Kostoff et al, , 2003c(Kostoff et al, , 2003d(Kostoff et al, , 2003l, 2003n, 2003p, 2003s, 2004a(Kostoff et al, , 2004c(Kostoff et al, , 2004d(Kostoff et al, , 2004f, 2004h, 2004i, 2004j, 2004l, 2004m, 2004n, 2004o, 2005a(Kostoff et al, , 2005b.…”

Section: Iii-c Relevance Feedback and Query Expansionmentioning

confidence: 99%

“…The interested reader is strongly urged to read this document, in order to obtain a detailed understanding of the operation of Simulated Nucleation. Since that time, Simulated Nucleation has been used in a number of published data mining studies in different topical areas (Kostoff et al, 1997b(Kostoff et al, , 1997c(Kostoff et al, , 1998a(Kostoff et al, , 1999a(Kostoff et al, , 2000a(Kostoff et al, , 2000c(Kostoff et al, , 2000g, 2001b(Kostoff et al, , 2001g, 2002a(Kostoff et al, , 2003c(Kostoff et al, , 2003d(Kostoff et al, , 2003l, 2003n, 2003p, 2003s, 2004a(Kostoff et al, , 2004c(Kostoff et al, , 2004d(Kostoff et al, , 2004f, 2004h, 2004i, 2004j, 2004l, 2004m, 2004n, 2004o, 2005a(Kostoff et al, , 2005b, and in shorter nonpublished efforts as well. Much deeper insights about the operation and benefits of Simulated Nucleation have been obtained, and a number of algorithmic upgrades have been made to enhance the power and efficiency of Simulated Nucleation.…”

Section: Iii-f Application Of Simulated Nucleation For Information Rmentioning

confidence: 99%

Systematic acceleration of radical discovery and innovation in science and technology

Kostoff

2006

Technological Forecasting and Social Change

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“…For the past decade, the first author has been developing ways to obtain the above types of information from large bodies of unstructured or semi-structured text (1)(2)(3)(4)(5)(6)(7)(8). These processes are collectively known as text mining (9)(10)(11)(12)(13)(14).…”

Section: Introductionmentioning

confidence: 99%

Science and technology text mining:: Text Mining of the Journal Cortex

Kostoff¹,

Buchtel²,

Andrews³

et al.

PsycEXTRA Dataset

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Background:The stated mission of Cortex is "the study of the inter-relations of the nervous system and behavior, particularly as these are reflected in the effects of brain lesions on cognitive functions." The purpose of this report is to explore the relationship between the stated mission and the executed mission as reflected by the characteristics of papers published in Cortex. In addition, we examine whether the results and conclusions of an analysis of this kind are affected by the level of description of the published papers.

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Database tomography for technical intelligence: A roadmap of the near-earth space science and technology literature

Cited by 70 publications

References 19 publications

Science and Technology Text Mining: Electric Power Sources

Science and Technology Text Mining: Electric Power Sources

Systematic acceleration of radical discovery and innovation in science and technology

Science and technology text mining:: Text Mining of the Journal Cortex

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