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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ozcan, Sercan Islam, Nazrul |
| Copyright Year | 2017 |
| Abstract | Many challenges still remain in the processing of explicit technological knowledge documents such as patents. Given the limitations and drawbacks of the existing approaches, this research sets out to develop an improved method for searching patent databases and extracting patent information to increase the efficiency and reliability of nanotechnology patent information retrieval process and to empirically analyse patent collaboration. A tech-mining method was applied and the subsequent analysis was performed using Thomson data analyser software. The findings show that nations such as Korea and Japan are highly collaborative in sharing technological knowledge across academic and corporate organisations within their national boundaries, and China presents, in some cases, a great illustration of effective patent collaboration and co-inventorship. This study also analyses key patent strengths by country, organisation and technology. |
| Starting Page | 941 |
| Ending Page | 970 |
| Page Count | 30 |
| File Format | |
| ISSN | 01389130 |
| Journal | Scientometrics |
| Volume Number | 111 |
| Issue Number | 2 |
| e-ISSN | 15882861 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2017-03-06 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Tech-mining Patent information Search query Collaborations Empirical analysis Nanotechnology Information Storage and Retrieval Library Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Library and Information Sciences Computer Science Applications |
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