Abstract
AbstractDatabase tomography is a technique for identifying pervasive themes in large text databases and revealing the connectivity among these themes by using a computer‐based algorithm to extract and order data. This allows users to create a taxonomy of pervasive research “thrusts” and interrelationships from the extracted data. The author examines how database tomography can be used to derive technical intelligence for professional literature in a given technical field. For this study, the field of Research Impact Assessment was selected. A database of relevant RIA articles was generated and the database “mapped” to reveal the relationships among the main “thrust” 3T63S. © 1997 John Wiley & Sons, Inc.
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