Semantic Agent in the Context of Big Data Usage in Ontological Information Retrieval in Scientific Research
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , |
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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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 |