Recognizing that technological developments are not isolated and are influenced not only by similar technologies but also by many entities that are sometimes unforeseen by the experts in the field, the authors of this paper propose a method for identifying technology-relevant entities with trend curve analysis.
The method first utilizes the tangential connection between terms in the encyclopedic dataset to extract technology-related entities with varying relation distances. Changes in their term frequencies within 389 million academic articles and 60 billion web pages are then analyzed to identify technology-relevant entities, incorporating the degrees and changes in both academic interests and public recognitions. (Published abstract provided)