Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques

• DOI: 10.2196/13498
• Publication Date: 2019-04-02T19:32:35Z
• Authors: Jon Hael Brenas; Eun Kyong Shin; Arash Shaban-Nejad
• Keywords: Ontology language

Background: Adverse Childhood Experiences (ACEs), a set of negative events and processes that person might encounter during childhood adolescence, have been proven to be linked increased risks multitude health outcomes conditions when children reach adulthood beyond. Objective: To better understand the relationship between ACEs their relevant risk factors with associated eventually design implement preventive interventions, access an integrated coherent dataset is needed. Therefore, we implemented formal ontology as resource allow mental community facilitate data integration knowledge modeling improve surveillance research. Methods: We use advanced representation Semantic Web tools techniques ontology. The current implementation expressed in description logic ALCRIQ(D), sublogic Ontology Language (OWL 2). Results: has made available public via BioPortal repository. Moreover, multiple use-case scenarios introduced showcase evaluate usability action. was created used by major actors different applications, from diagnosis individuals predicting potential they prevention population designing interventions policies. Conclusions: provides uniform reusable semantic network structure for practitioners researchers evaluation.