Evaluating the effect of annotation size on measures of semantic similarity

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• 作者：Maxat Kulmanov ; Robert Hoehndorf
• 关键词：Semantic similarity ; Ontology ; Gene ontology
• 刊名：Journal of Biomedical Semantics
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：8
• 期：1
• 全文大小：1138KB
• 刊物主题：Algorithms; Computer Appl. in Life Sciences; Data Mining and Knowledge Discovery; Computational Biology/Bioinformatics; Bioinformatics; Combinatorial Libraries;
• 出版者：BioMed Central
• ISSN：2041-1480
• 卷排序：8

文摘

BackgroundOntologies are widely used as metadata in biological and biomedical datasets. Measures of semantic similarity utilize ontologies to determine how similar two entities annotated with classes from ontologies are, and semantic similarity is increasingly applied in applications ranging from diagnosis of disease to investigation in gene networks and functions of gene products.