User-centered innovative technology analysis and prediction application in mobile environment

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• 作者：Jinhyung Kim ; Do-Heon Jeong ; DongHwi Lee ; Hanmin Jung
• 关键词：Business intelligence ; Technology intelligence ; Technology analysis ; Predictive analysis
• 刊名：Multimedia Tools and Applications
• 出版年：2015
• 出版时间：October 2015
• 年：2015
• 卷：74
• 期：20
• 页码：8761-8779
• 全文大小：2,263 KB
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• 作者单位：Jinhyung Kim (1)
  Do-Heon Jeong (1)
  DongHwi Lee (2)
  Hanmin Jung (1)
  
  1. Department of Computer Intelligence Research, Information/Software Research Center, Korea Institute of Science and Technology Information, 52-11, Eoeun-dong, Yuseong-gu, Daejeon, South Korea
  2. Department of Industrial Security, Kyunggi University, 154-42, Gwanggyosan-ro, YoungTong-gu, Suwon, South Korea
  
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721

文摘

Business intelligence is a critical in defining the strategy and roadmap of organizations. However, business intelligence covers too much wide coverage to consider all of fields such as data analytics, text mining, predictive analytics, and so on. Among these fields, the most important is information analysis and prediction. Therefore, we suggest a business intelligence application based on the adaptive recognition of user intention and usage patterns in the mobile environment. This application is named InSciTe Adaptive and is based on text mining and semantic web technologies. It supports technology-focused analysis and predictions, such as technology trends analysis, element technology analysis, and convergence technology discovery, as well as adaptive recognition of the user’s intention by using semi-automatic user modeling processes. Through adaptive user modeling, this application can provide a more dynamic service flow and more up-to-date analysis results based on the user’s intention, compared to existing applications, which provide static analysis results and service flow. Keywords Business intelligence Technology intelligence Technology analysis Predictive analysis