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Semantic Search Enhanced with Rating Scores

This paper presents <i>SemSim<sup>e</sup></i>, a method based on semantic similarity for searching over a set of digital resources previously annotated by means of concepts from a weighted reference ontology. <i>SemSim<sup>e</sup></i> is an enhancement of <i>SemSim</i> and, with respect to the latte...

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Bibliográfalaš dieđut
Váldodahkkit: Anna Formica, Elaheh Pourabbas, Francesco Taglino
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: MDPI AG 2020-04-01
Ráidu:Future Internet
Fáttát:
Liŋkkat:https://www.mdpi.com/1999-5903/12/4/67
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