Zobrazeno 1 - 10
of 311
pro vyhledávání: '"entity reconciliation"'
Publikováno v:
In Expert Systems With Applications 1 September 2017 80:14-27
Akademický článek
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Akademický článek
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Autor:
Raquel Blanco, Javier Tuya, María José Escalona, F. J. Domínguez-Mayo, José Gonzalez Enríquez
Publikováno v:
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
p. 538-556
This work was supported in part by the Spanish Ministry of Science and Technology, under the projects PERTEST (TIN2013-46928-C3-1-R), MeGUS (TIN2013-46928-C3-3-R), TestEAMos (TIN2016-76956-C3-1-R), POLOLAS (TIN2016-76956-C3-2-R), and
This work was supported in part by the Spanish Ministry of Science and Technology, under the projects PERTEST (TIN2013-46928-C3-1-R), MeGUS (TIN2013-46928-C3-3-R), TestEAMos (TIN2016-76956-C3-1-R), POLOLAS (TIN2016-76956-C3-2-R), and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a8ecd1de877387ccc0256419be8e3e4
http://hdl.handle.net/10651/47143
http://hdl.handle.net/10651/47143
Publikováno v:
Enríquez, J G, Domínguez-Mayo, F J, Escalona, M J, Ross, M & Staples, G 2017, ' Entity Reconciliation in Big Data Sources : a Systematic Mapping Study ', Expert Systems with Applications, vol. 80, no. 1, pp. 14-27 . https://doi.org/10.1016/j.eswa.2017.03.010
Systematic Mapping Study about entity reconciliation in Big Data.Eleven databases were consulted. Rigorous process where 2255 papers were analyzed leaving 61 primary studies.Analytic data statistics after the classification of the primary studies.Dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c52f26262607e5be00fbe95d5e07a062
https://doi.org/10.1016/j.eswa.2017.03.010
https://doi.org/10.1016/j.eswa.2017.03.010
Autor:
González Enríquez, José, Domínguez Mayo, Francisco José, García García, Julián Alberto, Escalona Cuaresma, María José
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
Within the development of software systems, the development of web applications may be one of the most widespread at present due to the great number of advantages they provide such as: multiplatform, speed of access or the not requiring extremely pow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::a1e458d2abcc7d9d20913bead4e9a554
Autor:
González Enríquez, José, Domínguez Mayo, Francisco José, Escalona Cuaresma, María José, Ross, M., Staples, G.
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
The entity reconciliation (ER) problem aroused much interest as a research topic in today’s Big Dataera, full of big and open heterogeneous data sources. This problem poses when relevant information ona topic needs to be obtained using methods base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::e543877a3c5c037cd5ddaa35420a4132
Autor:
Raquel Blanco, María José Escalona, José Gonzalez Enríquez, F. J. Domínguez-Mayo, Javier Tuya
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
A-TEST@SIGSOFT FSE
instname
A-TEST@SIGSOFT FSE
The management of large volumes of data has given rise to significant challenges to the entity reconciliation problem (which refers to combining data from different sources for a unified vision) due to the fact that the data are becoming more unstruc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc384fd5b8e7f10e88ec760a91c21dce
Autor:
Shaw, Ryan1 ryanshaw@unc.edu, Golden, Patrick1 ptgolden@live.unc.edu
Publikováno v:
Proceedings of the Association for Information Science & Technology. 2013, Vol. 50 Issue 1, p1-4. 4p.
Publikováno v:
IEEE Transactions on Knowledge & Data Engineering. May/Jun2002, Vol. 14 Issue 3, p567. 16p. 3 Black and White Photographs, 1 Diagram, 10 Charts, 5 Graphs.