Title page for etd-0615116-210432


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URN etd-0615116-210432
Author Kai-wen Hsiao
Author's Email Address No Public.
Statistics This thesis had been viewed 5391 times. Download 594 times.
Department Information Management
Year 2015
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title An Online Ontology-Based Approach To Knowledge Management For Pregnant Women
Date of Defense 2016-06-04
Page Count 91
Keyword
  • Ontology
  • SWRL
  • Pregnancy
  • Down syndrome
  • Abstract During the pregnant period, physical and mental states of the mother should be carefully treated because both mother and baby can be affected. In Taiwan, Health Promotion Administration, Ministry of Health and Welfare, has long been promoting the prenatal service quality to stimulate the prenatal examination rate and deliver critical healthcare instructions through all levels of healthcare institutes.
       Nonetheless, there are several issues to address on the medical information distributed online. First, there exists a huge amount of information prevailing through this channel, no matter qualified or not. Unqualified information may mislead the browsers to absorb biased knowledge. Second, it is ironical that most of the limited webpages that contains qualified information are full of proficient terminology or pure text-based descriptions.
       Our objective is to provide proper knowledge online for pregnant women regarding prenatal health education through the ontology knowledge structure. We integrate online visualization into the ontology knowledge structure to vivify the knowledge representation. We aim to explore several design principles to promote the webpage usability on learnability, efficiency and satisfaction.
    Advisory Committee
  • Wei-Chun Tai - chair
  • Hsieh Chang-Tse - co-chair
  • Jen-Her We - advisor
  • Hao-yun Kao - advisor
  • Files
  • etd-0615116-210432.pdf
  • Indicate in-campus at 1 year and off-campus access at 1 year.
    Date of Submission 2016-07-15

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