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  • 标题:Searching and Analysing Patent Document to Solve R&D Problems
  • 本地全文:下载
  • 作者:Nidhi Sandal ; Avinash Kumar
  • 期刊名称:DESIDOC Journal of Library & Information Technology
  • 电子版ISSN:0976-4658
  • 出版年度:2016
  • 卷号:36
  • 期号:2
  • 语种:English
  • 出版社:DESIDOC, Ministry of Defence, India
  • 摘要:The task of analysing patent data using automated tools to dig out the desired information through visualisation, citation analysis, and other techniques are gaining importance. Patent information is presented and recorded in a very systematic manner which simplifies the task of searching relevant information for various purposes like technology forecasting. Patent documents help in drawing a baseline, identifying vacuums and then providing leads to fill these vacuums. The present paper is focused on finding patent documents as leads for an R&D problem, utilising various tools pertaining to patent literature including patent searching, text mining, and patent analysis to zero down the key patent documents as leads. A practical R&D problem related to the development of a drug delivery device for releasing the vapours of drug was imposed by scientists for which a systematic search was performed to extract most relevant patent documents using various patent analytical tools towards solving a practical R&D problem. http://dx.doi.org/10.14429/djlit.36.2.9504
  • 关键词:Patent analysis, network model, search, keywords, drug delivery
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