Treffer: Development of a semantic-based search system for immunization knowledge.

Title:
Development of a semantic-based search system for immunization knowledge.
Authors:
Lee LH; Institute of Public Health, National Yang-Ming University, Taiwan (R.O.C.)., Chu HY, Liou DM
Source:
Studies in health technology and informatics [Stud Health Technol Inform] 2013; Vol. 192, pp. 258-62.
Publication Type:
Journal Article; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform
Imprint Name(s):
Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
MeSH Terms:
Natural Language Processing*, Computer-Assisted Instruction/*methods , Health Education/*methods , Health Promotion/*methods , Immunization/*classification , Immunization/*methods , Search Engine/*methods, China ; Health Literacy ; Information Storage and Retrieval ; Semantics ; Taiwan ; Translating
Entry Date(s):
Date Created: 20130808 Date Completed: 20150406 Latest Revision: 20130807
Update Code:
20250114
PMID:
23920556
Database:
MEDLINE

Weitere Informationen

This study developed and implemented a children's immunization management system with English and Traditional Chinese immunization ontology for semantic-based search of immunization knowledge. Parents and guardians are able to search vaccination-related information effectively. Jena Java Application Programming Interface (API) was used to search for synonyms and associated classes in this domain and then use them for searching by Google Search API. The searching results do not only contain suggested web links but also include a basic introduction to vaccine and related preventable diseases. Compared with the Google keyword-based search, over half of the 31 trial users prefer using semantic-based search of this system. Although the search runtime on this system is not as fast as well-known search engines such as Google or Yahoo, it can accurately focus on searching for child vaccination information to provide search results that better conform to the needs of users. Furthermore, the system is also one of the few health knowledge platforms that support Traditional Chinese semantic-based search.