Longitudinal patent analysis for nanoscale science and engineering: Country, institution and technology field

Persistent Link:
http://hdl.handle.net/10150/105834
Title:
Longitudinal patent analysis for nanoscale science and engineering: Country, institution and technology field
Author:
Huang, Zan; Chen, Hsinchun; Yip, Alan; Ng, Gavin; Guo, Fei; Chen, Zhi-Kai; Roco, Mihail C.
Citation:
Longitudinal patent analysis for nanoscale science and engineering: Country, institution and technology field 2003, 5:333-363 Journal of Nanoparticle Research
Publisher:
Kluwer
Journal:
Journal of Nanoparticle Research
Issue Date:
2003
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/105834
Submitted date:
2004-08-16
Abstract:
Nanoscale science and engineering (NSE) and related areas have seen rapid growth in recent years. The speed and scope of development in the field have made it essential for researchers to be informed on the progress across different laboratories, companies, industries and countries. In this project, we experimented with several analysis and visualization techniques on NSE-related United States patent documents to support various knowledge tasks. This paper presents results on the basic analysis of nanotechnology patents between 1976 and 2002, content map analysis and citation network analysis. The data have been obtained on individual countries, institutions and technology fields. The top 10 countries with the largest number of nanotechnology patents are the United States, Japan, France, the United Kingdom, Taiwan, Korea, the Netherlands, Switzerland, Italy and Australia. The fastest growth in the last 5 years has been in chemical and pharmaceutical fields, followed by semiconductor devices. The results demonstrate potential of information-based discovery and visualization technologies to capture knowledge regarding nanotechnology performance, transfer of knowledge and trends of development through analyzing the patent documents.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Artificial Intelligence; Knowledge Management
Local subject classification:
National Science Digital Library; NSDL; Artificial Intelligence lab; AI lab; Nanoscale science and engineering

Full metadata record

DC FieldValue Language
dc.contributor.authorHuang, Zanen_US
dc.contributor.authorChen, Hsinchunen_US
dc.contributor.authorYip, Alanen_US
dc.contributor.authorNg, Gavinen_US
dc.contributor.authorGuo, Feien_US
dc.contributor.authorChen, Zhi-Kaien_US
dc.contributor.authorRoco, Mihail C.en_US
dc.date.accessioned2004-08-16T00:00:01Z-
dc.date.available2010-06-18T23:35:15Z-
dc.date.issued2003en_US
dc.date.submitted2004-08-16en_US
dc.identifier.citationLongitudinal patent analysis for nanoscale science and engineering: Country, institution and technology field 2003, 5:333-363 Journal of Nanoparticle Researchen_US
dc.identifier.urihttp://hdl.handle.net/10150/105834-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractNanoscale science and engineering (NSE) and related areas have seen rapid growth in recent years. The speed and scope of development in the field have made it essential for researchers to be informed on the progress across different laboratories, companies, industries and countries. In this project, we experimented with several analysis and visualization techniques on NSE-related United States patent documents to support various knowledge tasks. This paper presents results on the basic analysis of nanotechnology patents between 1976 and 2002, content map analysis and citation network analysis. The data have been obtained on individual countries, institutions and technology fields. The top 10 countries with the largest number of nanotechnology patents are the United States, Japan, France, the United Kingdom, Taiwan, Korea, the Netherlands, Switzerland, Italy and Australia. The fastest growth in the last 5 years has been in chemical and pharmaceutical fields, followed by semiconductor devices. The results demonstrate potential of information-based discovery and visualization technologies to capture knowledge regarding nanotechnology performance, transfer of knowledge and trends of development through analyzing the patent documents.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherKluweren_US
dc.subjectArtificial Intelligenceen_US
dc.subjectKnowledge Managementen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial Intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherNanoscale science and engineeringen_US
dc.titleLongitudinal patent analysis for nanoscale science and engineering: Country, institution and technology fielden_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalJournal of Nanoparticle Researchen_US
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