Affiliation:
1. Tübitak Marmara Research Center, Turkey
2. Giresun University, Turkey
Abstract
Domain ontologies are significant structured and semantic resources for information systems. Therefore, they are proposed and used in many application domains including medicine, finance, law, and energy. In this chapter, the authors extend a public health ontology in a semi-automatic manner in order to increase its usability in information systems and social media analysis applications. Basically, the public health ontology is extended with new concepts from a medical ontology, and it is partially aligned with this medical ontology. The final form of the ontology is named Public Health Ontology for Turkish (PHOTr). With this extension, the authors expect that the number and range of artificial intelligence applications that can benefit from the ontology will increase considerably. Also presented in this chapter are important future research directions based on the current study, in addition to information about the applications that can make use of PHOTr.
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