Feasibility of activity-based expert profiling using text mining of scientific publications and patents

Volume: 123, Issue: 2, Pages: 579 - 620
Published: Mar 18, 2020
Abstract
Research and development (R&D) in many technological areas is characterized by growing complexity. In biomedical engineering, too, interdisciplinary collaboration is regarded as a promising way to master this challenge. Therefore, identifying suitable experts becomes crucial, which is currently being researched, amongst others, by analyzing semantic data. However, previous approaches lack clarity and traceability of the mechanisms for compiling...
Paper Details
Title
Feasibility of activity-based expert profiling using text mining of scientific publications and patents
Published Date
Mar 18, 2020
Volume
123
Issue
2
Pages
579 - 620
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