University of Twente Student Theses
Mining and Utilizing Patent Related Data in Quantifying the Societal Impact of Security Technologies
Shi, Z. (2022) Mining and Utilizing Patent Related Data in Quantifying the Societal Impact of Security Technologies.
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| Abstract: | Different from academic impact evaluation, the quantitative societal impact evaluation tool is still limited, many of them are based on altmetrics, including social media data in measuring societal impact. During practical usage, it shows many limitations, especially in terms of lacking data in old papers, can be gamified, and undervaluing basic studies. In this paper, patent-related data is used as the indicator. Three methodologies are designed beyond the traditional direct patent citations, to mine more data and improve the evaluation of "basic study" compared with Altmetric. They are applied in all IEEE S&P papers from 2000 to 2005 to test the performance. Methodology 1 can extract more related patents, methodology 2 extends the length limit between papers and patents, and methodology 3 proposed a new topic-based algorithm. Based on methodology 3, we did several case studies to verify the relationship between papers and patents on the same topics. The result shows a strong relationship between them. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/91681 |
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