Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents

Detalhes bibliográficos
Autor(a) principal: Milanez,Douglas Henrique
Data de Publicação: 2014
Outros Autores: Amaral,Roniberto Morato do, Faria,Leandro Innocentini Lopes de, Gregolin,José Angelo Rodrigues
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Materials research (São Carlos. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392014000600021
Resumo: Nanocellulose is remarkable cellulose-based nanomaterials that have a potential for innovation and sustainable appeal. Their advances can be assessed using patent indicators and text mining techniques. The aim of this study was at analyzing the advances in nanocellulose based on indicators compiled from patents filed at the United States Patent and Trademark Office (USPTO) from 2000 to 2012. Assignees, technological subjects, highly cited patents, applications and types of nanocellulose were obtained by mining structured and unstructured data. The results highlighted the different interests in the USA market, mainly after 2007. Mined terms from titles and abstracts could add further information to the analysis. However, although the method applied was useful, it was not sufficient to identify all applications and types of nanocellulose involved in the sample analyzed, therefore it is recommended that other document parts be included in future analyses.
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spelling Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documentssustainabilitydata miningtext miningpatent analysistechnological mappingNanocellulose is remarkable cellulose-based nanomaterials that have a potential for innovation and sustainable appeal. Their advances can be assessed using patent indicators and text mining techniques. The aim of this study was at analyzing the advances in nanocellulose based on indicators compiled from patents filed at the United States Patent and Trademark Office (USPTO) from 2000 to 2012. Assignees, technological subjects, highly cited patents, applications and types of nanocellulose were obtained by mining structured and unstructured data. The results highlighted the different interests in the USA market, mainly after 2007. Mined terms from titles and abstracts could add further information to the analysis. However, although the method applied was useful, it was not sufficient to identify all applications and types of nanocellulose involved in the sample analyzed, therefore it is recommended that other document parts be included in future analyses.ABM, ABC, ABPol2014-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392014000600021Materials Research v.17 n.6 2014reponame:Materials research (São Carlos. Online)instname:Universidade Federal de São Carlos (UFSCAR)instacron:ABM ABC ABPOL10.1590/1516-1439.266314info:eu-repo/semantics/openAccessMilanez,Douglas HenriqueAmaral,Roniberto Morato doFaria,Leandro Innocentini Lopes deGregolin,José Angelo Rodrigueseng2015-02-10T00:00:00Zoai:scielo:S1516-14392014000600021Revistahttp://www.scielo.br/mrPUBhttps://old.scielo.br/oai/scielo-oai.phpdedz@power.ufscar.br1980-53731516-1439opendoar:2015-02-10T00:00Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
title Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
spellingShingle Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
Milanez,Douglas Henrique
sustainability
data mining
text mining
patent analysis
technological mapping
title_short Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
title_full Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
title_fullStr Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
title_full_unstemmed Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
title_sort Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
author Milanez,Douglas Henrique
author_facet Milanez,Douglas Henrique
Amaral,Roniberto Morato do
Faria,Leandro Innocentini Lopes de
Gregolin,José Angelo Rodrigues
author_role author
author2 Amaral,Roniberto Morato do
Faria,Leandro Innocentini Lopes de
Gregolin,José Angelo Rodrigues
author2_role author
author
author
dc.contributor.author.fl_str_mv Milanez,Douglas Henrique
Amaral,Roniberto Morato do
Faria,Leandro Innocentini Lopes de
Gregolin,José Angelo Rodrigues
dc.subject.por.fl_str_mv sustainability
data mining
text mining
patent analysis
technological mapping
topic sustainability
data mining
text mining
patent analysis
technological mapping
description Nanocellulose is remarkable cellulose-based nanomaterials that have a potential for innovation and sustainable appeal. Their advances can be assessed using patent indicators and text mining techniques. The aim of this study was at analyzing the advances in nanocellulose based on indicators compiled from patents filed at the United States Patent and Trademark Office (USPTO) from 2000 to 2012. Assignees, technological subjects, highly cited patents, applications and types of nanocellulose were obtained by mining structured and unstructured data. The results highlighted the different interests in the USA market, mainly after 2007. Mined terms from titles and abstracts could add further information to the analysis. However, although the method applied was useful, it was not sufficient to identify all applications and types of nanocellulose involved in the sample analyzed, therefore it is recommended that other document parts be included in future analyses.
publishDate 2014
dc.date.none.fl_str_mv 2014-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392014000600021
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392014000600021
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1516-1439.266314
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv ABM, ABC, ABPol
publisher.none.fl_str_mv ABM, ABC, ABPol
dc.source.none.fl_str_mv Materials Research v.17 n.6 2014
reponame:Materials research (São Carlos. Online)
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:ABM ABC ABPOL
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str ABM ABC ABPOL
institution ABM ABC ABPOL
reponame_str Materials research (São Carlos. Online)
collection Materials research (São Carlos. Online)
repository.name.fl_str_mv Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv dedz@power.ufscar.br
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