KWSim : Concept Similarity Measure

Abstract : The comparison of manually annotated medical images can be done using the comparison of keywords in a lexical way or using the existing medical thesauri to calculate semantic similarity. In this paper, first we introduce the KWSim measure, a fully automated technique of measuring semantic similarity by mapping concepts(keywords) to different medical thesauri and examining the “is-a” relation type. A keyword vector similarity is also presented, based on the KWSim measure. Our approach is implemented using MeSH, ICD-10 and SNOMED CT thesauri and compared with two other existing approaches. We illustrate our method with a real time online annotation assistant.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01500753
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Submitted on : Monday, April 3, 2017 - 4:12:09 PM
Last modification on : Wednesday, May 22, 2019 - 2:54:06 PM

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  • HAL Id : hal-01500753, version 1

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Youssef Matar, Elod Egyed-Zsigmond, Sonia Lajmi. KWSim : Concept Similarity Measure. CORIA 2008, COnférence en Recherche d'Information et Applications, Mar 2008, Trégastel, France. pp.475-482. ⟨hal-01500753⟩

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