Developing VISO: Vaccine Information Statement Ontology for patient education

Journal of Biomedical Semantics

Cui Tao²  Julie Boom¹  Rachel Cunningham¹  Yang Gong²  Muhammad Amith² 

[1] Immunization Project, Texas Children’s Hospital, 1102 Bates, Houston 77030, TX, USA;School of Biomedical Informatics, University of Texas Health Science Center, 7000 Fannin St, Houston 77030, TX, USA

关键词: Ontology construction;    Ontology;    Knowledge based systems;    Vaccine Information Statements;    Vaccines;    Biomedical informatics;   

Others  :  1207539
DOI  :  10.1186/s13326-015-0016-2

 received in 2014-12-09, accepted in 2015-03-28,  发布年份 2015

【 摘 要 】

Objective

To construct a comprehensive vaccine information ontology that can support personal health information applications using patient-consumer lexicon, and lead to outcomes that can improve patient education.

Methods

The authors composed the Vaccine Information Statement Ontology (VISO) using the web ontology language (OWL). We started with 6 Vaccine Information Statement (VIS) documents collected from the Centers for Disease Control and Prevention (CDC) website. Important and relevant selections from the documents were recorded, and knowledge triples were derived. Based on the collection of knowledge triples, the meta-level formalization of the vaccine information domain was developed. Relevant instances and their relationships were created to represent vaccine domain knowledge

Results

The initial iteration of the VISO was realized, based on the 6 Vaccine Information Statements and coded into OWL2 with Protégé. The ontology consisted of 132 concepts (classes and subclasses) with 33 types of relationships between the concepts. The total number of instances from classes totaled at 460, along with 429 knowledge triples in total. Semiotic-based metric scoring was applied to evaluate quality of the ontology.

【 授权许可】

   
2015 Amith et al.; licensee BioMed Central.

【 图 表 】

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