Science and Technology Text Mining: Near-Earth Space
Abstract
Database tomography is a patented system for analyzing large amounts of textual computerized material. It includes algorithms for extracting multi-word phrase frequencies and performing phrase proximity analyses. This report shows how database tomography can be used to derive technical intelligence from the published literature. One potential application of database tomography is to obtain the thrusts and interrelationships of a technical field from papers published in the literature within that field. This paper provides an application of database tomography to the analysis of Near-Earth Space (NES) science and technology in support of the Navy's activities in this region of space. A database of relevant NES articles was analyzed to produce characteristics and key features of the NES field. Prolific NES authors, journals prolific in publishing NES papers, institutions that perform the most research in NES, the most common keywords specified by authors, and the authors whose works are cited most often, as well as the particular papers, journals, and institutions cited most prolifically, are identified. The pervasive themes of NES are identified through multi-word phrase analyses of the database. A phrase proximity analysis of the database shows the relationships among the pervasive themes, and the relationships between the pervasive themes and sub-themes. (7 refs.)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 21, 2003
- Accession Number
- ADA415928
Entities
People
- Darrell R. Toothman
- Henry J. Eberhart
- Ronald Neil Kostoff
Organizations
- Office of Naval Research