IJCATR Volume 7 Issue 6

Semantic Similarity Measures between Terms in the Biomedical Domain within frame work Unified Medical Language System (UMLS)

Abdelhakeem M. B. Abdelrahman , Dr. Ahmad Kayed
10.7753/IJCATR0708.1007
keywords : Information extraction, biomedical domain, semantic similarity techniques, Unified Medical Language System (UMLS), and Semantic Information Retrieval (SIR).

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The techniques and tests are tools used to define how measure the goodness of ontology or its resources. The similarity between biomedical classes/concepts is an important task for the biomedical information extraction and knowledge discovery. However, most of the semantic similarity techniques can be adopted to be used in the biomedical domain (UMLS). Many experiments have been conducted to check the applicability of these measures. In this paper, we investigate to measure semantic similarity between two terms within single ontology or multiple ontologies in ICD-10 “V1.0” as primary source, and compare my results to human experts score by correlation coefficient.
@artical{a762018ijcatr07061007,
Title = "Semantic Similarity Measures between Terms in the Biomedical Domain within frame work Unified Medical Language System (UMLS)",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "7",
Issue ="6",
Pages ="331 - 340",
Year = "2018",
Authors ="Abdelhakeem M. B. Abdelrahman , Dr. Ahmad Kayed"}