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In this study we developed an ontology for accessing online health information related to pregnancy. Social media data and the categories in the literature on pregnancy information were used to collect terms for identifying class and class hierarchy. The developed ontology included 241 classes and 788 synonyms, with six superclasses. This ontology can be used to provide appropriate information based on a needs assessment.
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