Name
Title | ||
|---|---|---|
Analyzing patent topical information to identify technology pathways and potential opportunities |
Abstract | ||
|---|---|---|
As a basic knowledge resource, patents play an important role in identifying technology development trends and opportunities, especially for emerging technologies. However patent mining is restricted and even incomplete, because of the obscure descriptions provided in patent text. In this paper, we conduct an empirical study to try out alternative methods with Derwent Innovation Index data. Our case study focuses on nano-enabled drug delivery (NEDD) which is a very active emerging biomedical technology, encompassing several distinct technology spaces. We explore different ways to enhance topical intelligence from patent compilations. We further analyze extracted topical terms to identify potential innovation pathways and technology opportunities in NEDD. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s11192-014-1392-6 | Scientometrics |
Keywords | Field | DocType |
tech mining,patent analysis,nano-enabled drug delivery,technology pathways,technology opportunities analysis,text mining | Technology development,Data science,Data mining,Biomedical technology,Computer science,Emerging technologies,Patent analysis,Empirical research,Patent mining | Journal |
Volume | Issue | ISSN |
102 | 1 | 1588-2861 |
Citations | PageRank | References |
4 | 0.40 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jing Ma | 1 | 4 | 0.74 |
| Alan L. Porter | 2 | 398 | 32.61 |