Identification and extraction of memes represented as semantic networks from free text online forums

Memes have recently come into vogue in the context of 'viral' transmission of basic information units in online social networks. However, from their original general definition in a sociological context, there is still much work to be done from an information technology viewpoint. This inc...

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Autores principales: Beck-Fernández,Héctor, Nettleton,David F
Lenguaje:English
Publicado: Universidad de Tarapacá. 2015
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052015000100006
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spelling oai:scielo:S0718-330520150001000062015-01-05Identification and extraction of memes represented as semantic networks from free text online forumsBeck-Fernández,HéctorNettleton,David F Memes semantic networks information retrieval free format text Memes have recently come into vogue in the context of 'viral' transmission of basic information units in online social networks. However, from their original general definition in a sociological context, there is still much work to be done from an information technology viewpoint. This includes such issues as how to process memes from real text corpus, formal definitions for knowledge representation, meme refinement and selection. In order to address these issues, in this paper we adapt definitions from the semantic network and information retrieval fields to extract memes as semantic networks from free text documents, and then we present some examples in the context of a simple online forum.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.23 n.1 20152015-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052015000100006en10.4067/S0718-33052015000100006
institution Scielo Chile
collection Scielo Chile
language English
topic Memes
semantic networks
information retrieval
free format text
spellingShingle Memes
semantic networks
information retrieval
free format text
Beck-Fernández,Héctor
Nettleton,David F
Identification and extraction of memes represented as semantic networks from free text online forums
description Memes have recently come into vogue in the context of 'viral' transmission of basic information units in online social networks. However, from their original general definition in a sociological context, there is still much work to be done from an information technology viewpoint. This includes such issues as how to process memes from real text corpus, formal definitions for knowledge representation, meme refinement and selection. In order to address these issues, in this paper we adapt definitions from the semantic network and information retrieval fields to extract memes as semantic networks from free text documents, and then we present some examples in the context of a simple online forum.
author Beck-Fernández,Héctor
Nettleton,David F
author_facet Beck-Fernández,Héctor
Nettleton,David F
author_sort Beck-Fernández,Héctor
title Identification and extraction of memes represented as semantic networks from free text online forums
title_short Identification and extraction of memes represented as semantic networks from free text online forums
title_full Identification and extraction of memes represented as semantic networks from free text online forums
title_fullStr Identification and extraction of memes represented as semantic networks from free text online forums
title_full_unstemmed Identification and extraction of memes represented as semantic networks from free text online forums
title_sort identification and extraction of memes represented as semantic networks from free text online forums
publisher Universidad de Tarapacá.
publishDate 2015
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052015000100006
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