Abstract
Research on science and technology policy has heavily relied on patent data. However, relatively few studies of food safety patent activity appear in scholarly literature. This paper provides a discussion on patents as a measure of new knowledge generation in the food safety sector. In so doing, there are inherent challenges to identifying a research taxonomy for this multidisciplinary area. To overcome these challenges, the paper uses a natural language approach that can be applied to other research areas where boundaries of fields are not well defined.
Original language | English |
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Pages (from-to) | 27-36 |
Number of pages | 10 |
Journal | World Patent Information |
Volume | 55 |
Early online date | 3 Sept 2018 |
DOIs | |
Publication status | Published - Dec 2018 |
Keywords
- Food safety
- Patent
- Machine Learning
- Research Taxonomy