Semantic Agent in the Context of Big Data Usage in Ontological Information Retrieval in Scientific Research

Detalhes bibliográficos
Autor(a) principal: Coneglian, Caio Saraiva [UNESP]
Data de Publicação: 2016
Outros Autores: Fusco, Elvis, Santarem Segundo, Jose Eduardo, Ramachandran, M., Wills, G., Walters, R., Munoz, V. M., Chang, V
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5220/0005875703240330
http://hdl.handle.net/11449/162301
Resumo: The evolution of information technology caused an expansion in the amount of data available on the internet. Moreover, such developments demanded that new tools were created to allow processing at high velocity, trying various informational sources. In this context, in flocking to the three V (Velocity, Variety and Volume), emerged the phenomenon called Big Data. From the emergence of this phenomenon, the need to generate new architectures that allow that users, enjoy the high volume of data spread throughout the Web. One way to improve the processes carried out, insert the question of semantic information processing, in which the use of domain ontologies can expand as computational agents interpret the meaning of the data. Thus, this paper aims to present a proposal for architecture that places the elements of Big Data and semantic, seeking to insert a model that is adapted to the current computing needs. As proof of concept performed the implementation of the architecture, exploring the question of scientific research, where a user is assisted to find relevant information in academic databases. Through the implementation, it was found that the use ontologies in a Big Data architecture, significantly improves the recovery of information performed by computational agents.
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spelling Semantic Agent in the Context of Big Data Usage in Ontological Information Retrieval in Scientific ResearchSemantic WebSemantic AgentOntologyBig DataThe evolution of information technology caused an expansion in the amount of data available on the internet. Moreover, such developments demanded that new tools were created to allow processing at high velocity, trying various informational sources. In this context, in flocking to the three V (Velocity, Variety and Volume), emerged the phenomenon called Big Data. From the emergence of this phenomenon, the need to generate new architectures that allow that users, enjoy the high volume of data spread throughout the Web. One way to improve the processes carried out, insert the question of semantic information processing, in which the use of domain ontologies can expand as computational agents interpret the meaning of the data. Thus, this paper aims to present a proposal for architecture that places the elements of Big Data and semantic, seeking to insert a model that is adapted to the current computing needs. As proof of concept performed the implementation of the architecture, exploring the question of scientific research, where a user is assisted to find relevant information in academic databases. Through the implementation, it was found that the use ontologies in a Big Data architecture, significantly improves the recovery of information performed by computational agents.Univ Estadual Paulista UNESP, Dept Informat Sci, Marilia, SP, BrazilUNIVEM, Cent Univ Euripides de Marilia, Dept Comp Sci, Marilia, SP, BrazilUniv Sao Paulo, Ribeirao Preto, SP, BrazilUniv Estadual Paulista UNESP, Dept Informat Sci, Marilia, SP, BrazilScitepressUniversidade Estadual Paulista (Unesp)UNIVEMUniversidade de São Paulo (USP)Coneglian, Caio Saraiva [UNESP]Fusco, ElvisSantarem Segundo, Jose EduardoRamachandran, M.Wills, G.Walters, R.Munoz, V. M.Chang, V2018-11-26T17:15:32Z2018-11-26T17:15:32Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject324-330http://dx.doi.org/10.5220/0005875703240330Iotbd: Proceedings Of The International Conference On Internet Of Things And Big Data. Setubal: Scitepress, p. 324-330, 2016.http://hdl.handle.net/11449/16230110.5220/0005875703240330WOS:000391100400035Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIotbd: Proceedings Of The International Conference On Internet Of Things And Big Datainfo:eu-repo/semantics/openAccess2024-08-08T17:47:11Zoai:repositorio.unesp.br:11449/162301Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-08T17:47:11Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Semantic Agent in the Context of Big Data Usage in Ontological Information Retrieval in Scientific Research
title Semantic Agent in the Context of Big Data Usage in Ontological Information Retrieval in Scientific Research
spellingShingle Semantic Agent in the Context of Big Data Usage in Ontological Information Retrieval in Scientific Research
Coneglian, Caio Saraiva [UNESP]
Semantic Web
Semantic Agent
Ontology
Big Data
title_short Semantic Agent in the Context of Big Data Usage in Ontological Information Retrieval in Scientific Research
title_full Semantic Agent in the Context of Big Data Usage in Ontological Information Retrieval in Scientific Research
title_fullStr Semantic Agent in the Context of Big Data Usage in Ontological Information Retrieval in Scientific Research
title_full_unstemmed Semantic Agent in the Context of Big Data Usage in Ontological Information Retrieval in Scientific Research
title_sort Semantic Agent in the Context of Big Data Usage in Ontological Information Retrieval in Scientific Research
author Coneglian, Caio Saraiva [UNESP]
author_facet Coneglian, Caio Saraiva [UNESP]
Fusco, Elvis
Santarem Segundo, Jose Eduardo
Ramachandran, M.
Wills, G.
Walters, R.
Munoz, V. M.
Chang, V
author_role author
author2 Fusco, Elvis
Santarem Segundo, Jose Eduardo
Ramachandran, M.
Wills, G.
Walters, R.
Munoz, V. M.
Chang, V
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
UNIVEM
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Coneglian, Caio Saraiva [UNESP]
Fusco, Elvis
Santarem Segundo, Jose Eduardo
Ramachandran, M.
Wills, G.
Walters, R.
Munoz, V. M.
Chang, V
dc.subject.por.fl_str_mv Semantic Web
Semantic Agent
Ontology
Big Data
topic Semantic Web
Semantic Agent
Ontology
Big Data
description The evolution of information technology caused an expansion in the amount of data available on the internet. Moreover, such developments demanded that new tools were created to allow processing at high velocity, trying various informational sources. In this context, in flocking to the three V (Velocity, Variety and Volume), emerged the phenomenon called Big Data. From the emergence of this phenomenon, the need to generate new architectures that allow that users, enjoy the high volume of data spread throughout the Web. One way to improve the processes carried out, insert the question of semantic information processing, in which the use of domain ontologies can expand as computational agents interpret the meaning of the data. Thus, this paper aims to present a proposal for architecture that places the elements of Big Data and semantic, seeking to insert a model that is adapted to the current computing needs. As proof of concept performed the implementation of the architecture, exploring the question of scientific research, where a user is assisted to find relevant information in academic databases. Through the implementation, it was found that the use ontologies in a Big Data architecture, significantly improves the recovery of information performed by computational agents.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
2018-11-26T17:15:32Z
2018-11-26T17:15:32Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5220/0005875703240330
Iotbd: Proceedings Of The International Conference On Internet Of Things And Big Data. Setubal: Scitepress, p. 324-330, 2016.
http://hdl.handle.net/11449/162301
10.5220/0005875703240330
WOS:000391100400035
url http://dx.doi.org/10.5220/0005875703240330
http://hdl.handle.net/11449/162301
identifier_str_mv Iotbd: Proceedings Of The International Conference On Internet Of Things And Big Data. Setubal: Scitepress, p. 324-330, 2016.
10.5220/0005875703240330
WOS:000391100400035
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Iotbd: Proceedings Of The International Conference On Internet Of Things And Big Data
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 324-330
dc.publisher.none.fl_str_mv Scitepress
publisher.none.fl_str_mv Scitepress
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128129855651840