2015
DOI: 10.4018/ijswis.2015100103
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Semantic Network Formalism for Knowledge Representation

Abstract: In this paper, the authors propose formalism for representing a knowledge base (KB) by network. The objective is to achieve a high coverage of this base. This type of network is similar to the semantic network with the difference that the arcs are quantified by a value indicating the semantic proximity between the concepts. This semantic proximity presents taxonomic relations, synonyms, and non-taxonomic relations (contextual relations). This latter are discovered based on the association rules model. This mod… Show more

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Cited by 6 publications
(1 citation statement)
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“…Redes Semânticas (MALLAT et al, 2015;KE et al, 2014) também tiveram suas abordagens evidenciadas, além de Redes Biológicas (HONG et al, 2018;FU et al, 2017;TSAI et al, 2017;Özgür Cingiz;BIRICIK;DIRI, 2017;DASGUPTA;SAHA, 2016;BELYI et al, 2016;SOROKINA;MEDIGUE;VALLENET, 2015;MORE et al, 2011) que embora seja uma aplicação e não uma modelagem proposta, ainda é definida como uma Rede.…”
Section: Resultsunclassified
“…Redes Semânticas (MALLAT et al, 2015;KE et al, 2014) também tiveram suas abordagens evidenciadas, além de Redes Biológicas (HONG et al, 2018;FU et al, 2017;TSAI et al, 2017;Özgür Cingiz;BIRICIK;DIRI, 2017;DASGUPTA;SAHA, 2016;BELYI et al, 2016;SOROKINA;MEDIGUE;VALLENET, 2015;MORE et al, 2011) que embora seja uma aplicação e não uma modelagem proposta, ainda é definida como uma Rede.…”
Section: Resultsunclassified