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A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain

Harispe, Sébastien ; Sánchez, David ; Ranwez, Sylvie ; Janaqi, Stefan ; Montmain, Jacky

Journal of Biomedical Informatics, April 2014, Vol.48, pp.38-53 [Tạp chí có phản biện]

ISSN: 1532-0464 ; E-ISSN: 1532-0480 ; DOI: 10.1016/j.jbi.2013.11.006

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  • Nhan đề:
    A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain
  • Tác giả: Harispe, Sébastien ; Sánchez, David ; Ranwez, Sylvie ; Janaqi, Stefan ; Montmain, Jacky
  • Chủ đề: Ontologies ; Semantic Similarity Measures ; Unifying Framework ; Snomed-CT ; Biomedical Ontologies ; Ontologies ; Semantic Similarity Measures ; Unifying Framework ; Snomed-CT ; Biomedical Ontologies ; Medicine ; Engineering ; Public Health
  • Là 1 phần của: Journal of Biomedical Informatics, April 2014, Vol.48, pp.38-53
  • Mô tả: [Display omitted] •Analysis of measures used to estimate the similarity of biomedical concepts.•Definition of a theoretical framework unifying several semantic measure paradigms.•Identification of the core elements commonly used for semantic similarity design.•Benefits for studying, defining and improving semantic measures are highlighted.•Comparison of hundreds of semantic measures using SNOMED-CT healthcare terminology. Ontologies are widely adopted in the biomedical domain to characterize various resources (e.g. diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the structured knowledge that ontologies provide, a plethora of ad hoc and domain-specific semantic similarity measures have been defined over the last years. Nevertheless, some critical questions remain: which measure should be defined/chosen for a concrete application? Are some of the, a priori different, measures indeed equivalent? In order...
  • Ngôn ngữ: English
  • Số nhận dạng: ISSN: 1532-0464 ; E-ISSN: 1532-0480 ; DOI: 10.1016/j.jbi.2013.11.006

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