Software-based Patent Analysis: How to Leverage a Text-mining Tool

被引:0
|
作者
Siwczyk, Yvonne [1 ]
Warschat, Joachim [1 ]
Spath, Dieter [1 ]
机构
[1] Fraunhofer Inst Ind Engn IAO, Stuttgart, Germany
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Within the early phases of technology management processes, patents are often used as a source of inspiration for new ideas. Patents contain detailed technical information about a technical problem and the preferred technical solution. This information can be used for example to assess the state of the art or as a basis to identify possible gaps in a technology field. But often it is a very time consuming process to analyse the information provided by patents, because huge amounts of patents have to be considered. Therefore special text-mining tools are used to help extracting the desired information in short time. One common text-mining tool that is appropriate to assist the information extraction from patents is Luxid (R). In the following a special approach to retrieve problems and solutions from patents that are needed to conduct a White Spot Analysis by using Luxid (R) is presented. The main advantage of this approach is that the user need not read whole patent documents but is able to retrieve the relevant parts of the text in short time for further analysis steps.
引用
收藏
页码:1006 / 1013
页数:8
相关论文
共 50 条
  • [21] TWITTER AS A POLITICAL TOOL IN EU COUNTRIES DURING THE ECONOMIC CRISIS: A COMPARATIVE TEXT-MINING ANALYSIS
    Redek, Tjasa
    Godnov, Uros
    [J]. DRUSTVENA ISTRAZIVANJA, 2018, 27 (04): : 691 - 711
  • [22] Reactions to the opioid epidemic: A text-mining analysis of tweets
    Rajesh, Kavya
    Wilcox, Gary
    Ring, David
    Mackert, Michael
    [J]. JOURNAL OF ADDICTIVE DISEASES, 2020, 39 (02) : 183 - 188
  • [23] Text mining techniques for patent analysis
    Tseng, Yuen-Hsien
    Lin, Chi-Jen
    Lin, Yu-I
    [J]. INFORMATION PROCESSING & MANAGEMENT, 2007, 43 (05) : 1216 - 1247
  • [24] Patent Analysis with Text Mining for TRIZ
    Liang, Yanhong
    Tan, Runhua
    Ma, Hanhong
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON MANAGEMENT OF INNOVATION AND TECHNOLOGY, VOLS 1-3, 2008, : 1147 - 1151
  • [25] Commentary on EPC methods: an exploration of the use of text-mining software in systematic reviews
    Poynter, Robin
    Banez, Lionel L.
    Erinoff, Eileen
    Lege-Matsuura, Jennifer
    Potter, Shannon
    [J]. JOURNAL OF CLINICAL EPIDEMIOLOGY, 2017, 84 : 33 - 36
  • [26] The use of text-mining software to facilitate screening of literature on centredness in health care
    Emma Forsgren
    Sara Wallström
    Caroline Feldthusen
    Niklas Zechner
    Richard Sawatzky
    Joakim Öhlén
    [J]. Systematic Reviews, 12
  • [27] BatteryDataExtractor: battery-aware text-mining software embedded with BERT models
    Huang, Shu
    Cole, Jacqueline M.
    [J]. CHEMICAL SCIENCE, 2022, 13 (39) : 11487 - 11495
  • [28] The use of text-mining software to facilitate screening of literature on centredness in health care
    Forsgren, Emma
    Wallstrom, Sara
    Feldthusen, Caroline
    Zechner, Niklas
    Sawatzky, Richard
    Ohlen, Joakim
    [J]. SYSTEMATIC REVIEWS, 2023, 12 (01)
  • [29] A software-based fault injection tool (SOFIT)
    Avresky, DR
    Geoghegan, SJ
    Tapadiya, PK
    [J]. COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 1998, 13 (06): : 327 - 337
  • [30] Software-based fault injection tool (SOFIT)
    Boston Univ, Boston, United States
    [J]. Comput Syst Sci Eng, 6 (327-337):