Disentangling the Wikipedia Category Graph for Corpus Extraction

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Autore principale: Axel-Cyrille Ngonga Ngomo
Natura: Artículo científico
Lingua:en
Pubblicazione: Instituto Politécnico Nacional 2009
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author Axel-Cyrille Ngonga Ngomo
author_facet Axel-Cyrille Ngonga Ngomo
contents Disentangling the Wikipedia Category Graph for Corpus Extraction Axel-Cyrille Ngonga Ngomo Frank Schumacher Computación corpus extraction local graph clustering Natural language processing In several areas of research such as knowledgemanagement and natural language processing, domain-specificcorpora are required for tasks such as terminology extraction andontology learning. The presented investigations herein are basedon the assumption that Wikipedia can be used for the purposeof corpus extraction. It presents the advantage of possessinga semantic layer, which should ease the extraction of domainspecificcorpora. Yet, as the Wikipedia category graph is scalefree,it can not be used as it is for these purposes. In this paper, wepropose a novel approach to graph clustering called BorderFlow,which we use and evaluate on the Wikipedia category graph.Additional possible applications of these results in the area ofinformation retrieval are presented. 2009 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640452001 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.39
format Artículo científico
id redalyc_402640452001
institution Redalyc
language en
publishDate 2009
publisher Instituto Politécnico Nacional
spellingShingle Disentangling the Wikipedia Category Graph for Corpus Extraction
Axel-Cyrille Ngonga Ngomo
Computación
corpus extraction
local graph clustering
Natural language processing
Disentangling the Wikipedia Category Graph for Corpus Extraction Axel-Cyrille Ngonga Ngomo Frank Schumacher Computación corpus extraction local graph clustering Natural language processing In several areas of research such as knowledgemanagement and natural language processing, domain-specificcorpora are required for tasks such as terminology extraction andontology learning. The presented investigations herein are basedon the assumption that Wikipedia can be used for the purposeof corpus extraction. It presents the advantage of possessinga semantic layer, which should ease the extraction of domainspecificcorpora. Yet, as the Wikipedia category graph is scalefree,it can not be used as it is for these purposes. In this paper, wepropose a novel approach to graph clustering called BorderFlow,which we use and evaluate on the Wikipedia category graph.Additional possible applications of these results in the area ofinformation retrieval are presented. 2009 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640452001 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.39
title Disentangling the Wikipedia Category Graph for Corpus Extraction
topic Computación
corpus extraction
local graph clustering
Natural language processing
url https://www.redalyc.org/articulo.oa?id=402640452001