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...

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Bibliographic Details
Main Authors: Anna Formica, Elaheh Pourabbas, Francesco Taglino
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Future Internet
Subjects:
Online Access:https://www.mdpi.com/1999-5903/12/4/67