Computing semantic similarity between biomedical concepts using new information content approach

• Published in: Journal of biomedical informatics Vol. 59; pp. 258 - 275
• Main Authors: Ben Aouicha, Mohamed, Hadj Taieb, Mohamed Ali
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.02.2016
• Subjects: Biomedicine; Computation; DAG topological parameters; Databases, Factual; Humans; Information content; Knowledge representation; Medical Informatics; Medical Subject Headings; MeSH; Natural Language Processing; Proposals; Semantic similarity; Semantics; Similarity; Taxonomy; Texts; Topology; Information content; MeSH; Semantic similarity; Biomedicine; DAG topological parameters

Excerpt of MeSH taxonomy modeling the Information Contents (ICs) of the biomedical concepts “Antigens, Differentiation, T-Lymphocyte” (C1) and “Receptors, Interleukin-7” (C2). The IC is quantified using the ancestors’ subgraph and the topological parameters (depth and descendants) of each ancestor....