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Healthcare-related data integration framework and knowledge reasoning process

  • Hong Qing Yu
    ,
  • Xia Zhao
    ,
  • Zhikun Deng
    ,
  • Feng Dong
Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Abstract

In this paper, we illustrate sensor data based healthcare information integration framework with semantic knowledge reasoning power. Nowadays, more and more people start to use mobile applications that can collects data from a variety of health and wellbeing sensors and presents significant correlations across sensors systems. However, it is difficult to correlate and integrate data from these varieties provided users with overall wellbeing picture and hidden insights about systematic health trends. The paper presents a data semantic integration solution using semantic web technologies. The process includes knowledge lifting and reasoning process that could feedback many hidden health factors and personal lifestyle analysis using semantic rule language (SWRL).

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 386-396

Publication milestones

  • Published - 12/07/2017

Publication status

Published - 12/07/2017

Volume

731

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore

Publication series

  • Publication series name: Communications in Computer and Information Science

ISBN (Print)

9783319626970

External Publication IDs

  • handle.net: 10547/624290
  • Scopus: 85028327494

Host publication title

Knowledge Management in Organizations 12th International Conference, KMO 2017, Beijing, China, August 21-24, 2017, Proceedings

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