{"title":"The Ontology of Tooth-Diseases for Jordanian cases","authors":"R. Jabri","doi":"10.33552/ABEB.2020.03.000579","DOIUrl":null,"url":null,"abstract":"Ontologies are developed to share the knowledge among the researchers working on the same domain. In medical domain it is becoming an important aspect of medical informatics. The objectives of building medical ontology are constructing more powerful and more interoperable information systems in health care. This paper builds a tooth-diseases ontology that represents the anatomical structure to the diagnosis of diseases. We consider the tooth diseases among Jordanians. Frequent diseases were selected to be represented after discussions with a dentist’s specialist. Their symptoms and respective treatments are then formalized. Finally, OWL based ontology is constructed. Thus, obtaining a formal diagnostic model for tooth diseases. This enables better understanding and diagnosis of such diseases by dentists, dental students and the ones who lack field experiences.","PeriodicalId":72276,"journal":{"name":"Archives in biomedical engineering & biotechnology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives in biomedical engineering & biotechnology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33552/ABEB.2020.03.000579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Ontologies are developed to share the knowledge among the researchers working on the same domain. In medical domain it is becoming an important aspect of medical informatics. The objectives of building medical ontology are constructing more powerful and more interoperable information systems in health care. This paper builds a tooth-diseases ontology that represents the anatomical structure to the diagnosis of diseases. We consider the tooth diseases among Jordanians. Frequent diseases were selected to be represented after discussions with a dentist’s specialist. Their symptoms and respective treatments are then formalized. Finally, OWL based ontology is constructed. Thus, obtaining a formal diagnostic model for tooth diseases. This enables better understanding and diagnosis of such diseases by dentists, dental students and the ones who lack field experiences.