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Development of a Semantic-based Search System for Immunization Knowledge

Development of a Semantic-based Search System for Immunization Knowledge. Li-Hui Lee 1 , Hsing-Yi Chu 2 , Der-Ming Liou 3 1 Institute of Public Health, 2 Institute of Health Informatics and Decision Making 3 Institution of Biomedical Informatics

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Development of a Semantic-based Search System for Immunization Knowledge

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  1. Development of a Semantic-based Search System for Immunization Knowledge Li-Hui Lee1, Hsing-Yi Chu2, Der-Ming Liou3 1 Institute of Public Health, 2 Institute of Health Informatics and Decision Making 3 Institution of Biomedical Informatics National Yang-Ming University, Taiwan (R.O.C) 21 August, 2013

  2. Outline • Introduction • Research Aim • Methods • Results • Limitations and Future Work • Conclusion and Contribution

  3. Children’s Immunization Information Search Keyword-based Search Google, Yahoo, Microsoft Bing, Taiwan CDC, BabyHome, NTUH, Everyday Health, etc. Popular keyword combinations Semantic-based Search English and Simplified Chinese only Semantic-based search in Traditional Chinese is needed Introduction

  4. Research Aim • To develop an integrated immunization information system including English and Traditional Chinese information search. • To compare the search results between our system and other search tools

  5. Methods • System Functionalities and Architecture • Immunization ontological structure design • Flowchart of search phrases pre-processing and execution • System Evaluation

  6. System Functionalities and Architecture Jena Java API

  7. Data Used for Building Immunization Ontology • Ontology Data Source • Keywords got from CDC Children Healthcare Handbook • Vaccine information for public • Related disease information for public • Inoculation documents • Relations and synonyms from UMLS metathesaurus • Vaccine • Related Disease

  8. Flowchart of Search Phrases Pre-processing and Execution to lowercase NO Found or Not Found YES

  9. System Evaluation • The immunization ontology design • System design and performance • Execution time • Relevance of results • Completeness of results • Synonym searches • 31 users were invited to use the system and provide feedback and suggestions for improvement.

  10. Immunization Ontological Structure

  11. System Design: Information Search ① ②

  12. System Design: Semantic-based Search Results

  13. Comparisons among Search Tools using the Term “BCG”

  14. Comparisons of the Related Search Results Number among Taiwanese Health Information Websites

  15. Users’ Feedback and Suggestions • 31 users • 4 mothers, 8 medical staffs and 19 IT students • Usefulness of searched Information • Basic information> related terms (synonyms and relations) > ontological structure > related articles • 67.7% respondents prefer to the semantic-based search.

  16. Limitations and Future Work • The relationship sets may restrict the information search target. • Information written in other languages is excluded from the search. • The pre-processing does not concern with lengthy search phrases.

  17. Conclusion and Contribution • An Immunization ontology is created to help semantic-based information search. • Our immunization ontology presented in OWL and referred to UMLS metathesaurus can be easily integrated and applied to other systems.

  18. Thanks for Your Attention! Any Questions?

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