Informatics in radiology: radiology gamuts ontology: differential diagnosis for the Semantic Web

• Published in: Radiographics Vol. 34; no. 1; p. 254
• Main Authors: Budovec, Joseph J, Lam, Cesar A, Kahn, Jr, Charles E
• Format: Journal Article
• Language: English
• Published: United States 01.01.2014
• Subjects: Biological Ontologies; Cooperative Behavior; Data Mining - methods; Decision Support Systems, Clinical - organization & administration; Diagnosis, Computer-Assisted - methods; Diagnosis, Differential; International Cooperation; Internationality; Internet - organization & administration; Natural Language Processing; Radiology - organization & administration; Radiology Information Systems - organization & administration; Semantics
• ISSN: 1527-1323
• DOI: 10.1148/rg.341135036

The Semantic Web is an effort to add semantics, or "meaning," to empower automated searching and processing of Web-based information. The overarching goal of the Semantic Web is to enable users to more easily find, share, and combine information. Critical to this vision are knowledge models called ontologies, which define a set of concepts and formalize the relations between them. Ontologies have been developed to manage and exploit the large and rapidly growing volume of information in biomedical domains. In diagnostic radiology, lists of differential diagnoses of imaging observations, called gamuts, provide an important source of knowledge. The Radiology Gamuts Ontology (RGO) is a formal knowledge model of differential diagnoses in radiology that includes 1674 differential diagnoses, 19,017 terms, and 52,976 links between terms. Its knowledge is used to provide an interactive, freely available online reference of radiology gamuts ( www.gamuts.net ). A Web service allows its content to be discovered and consumed by other information systems. The RGO integrates radiologic knowledge with other biomedical ontologies as part of the Semantic Web.