To search, Click below search items.


All Published Papers Search Service


Building and assessment of Gastric Cancer Ontology


Omid Yousefian zadeh, Maryam Ahmadi, Molouk Sadat Hosseini Beheshti


Vol. 19  No. 1  pp. 245-252


Background: The gastric cancer is one of the main reasons of death. In addition, the incidence of various types of cancer, especially gastric cancer, is increasing today. The high levels of cancer data from different sources may be considered as an obstacle to the organization and management of knowledge in a particular region. In this regard, the ontology approach has attracted the attention of the researchers due to its ability to solve a variety of heterogeneous problems. This study aimed to design and implement gastric cancer ontology (StOnt) this may be considered as one of the main measures to control burden of this disease. Methods: This was a developmental descriptive study it describes those research components that include ontology concepts and relationships. The design and implementation process was carried out in seven steps combining methods employed in Damontier and Villa Viva Rosales, and guideline on developing good ontologies ontology in the biomedical domain. Data gathering was carried out over four months of 2018. The Prot?g? editor version 5.0.0 was also used as a tool to build the ontology. Results: Resulting ontology includes all the specific concepts of gastric cancer (1146 axioms) and 17 object properties (relations). Validation of StOnt using named entity recognition-based methods and ProMiner software as a tool indicated that recall= 0/85, precision=0/90 and F score≥ 87% as well as the positive opinion of experts in structural and functional evaluation with suggesting 53 new axioms. Conclusions: The increasing incidence of gastrointestinal cancers requires a greater determination to develop relevant ontologies, so the development of StOnt is the first effort to organize the relevant information that will continue.


Medical Records, Biological Ontologies, Stomach Neoplasms, Health Information Management, StOnt