dc.creator | González Enríquez, José | es |
dc.creator | Lee, Vivian | es |
dc.creator | Goto, Masatomo | es |
dc.creator | Domínguez Mayo, Francisco José | es |
dc.creator | Escalona Cuaresma, María José | es |
dc.date.accessioned | 2019-08-19T07:33:28Z | |
dc.date.available | 2019-08-19T07:33:28Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | González Enríquez, J., Lee, V., Goto, M., Domínguez Mayo, F.J. y Escalona Cuaresma, M.J. (2015). Entity Identification Problem in Big and Open Data. En ICEIS 2015: 17th International Conference on Enterprise Information Systems (404-408), Barcelona, España: ScitePress Digital Library. | |
dc.identifier.isbn | 978-989-758-096-3 | es |
dc.identifier.uri | https://hdl.handle.net/11441/88412 | |
dc.description.abstract | Big and Open Data provide great opportunities to businesses to enhance their competitive advantages if
utilized properly. However, during past few years’ research in Big and Open Data process, we have
encountered big challenge in entity identification reconciliation, when trying to establish accurate
relationships between entities from different data sources. In this paper, we present our innovative Intelligent
Reconciliation Platform and Virtual Graphs solution that addresses this issue. With this solution, we are able
to efficiently extract Big and Open Data from heterogeneous source, and integrate them into a common
analysable format. Further enhanced with the Virtual Graphs technology, entity identification reconciliation
is processed dynamically to produce more accurate result at system runtime. Moreover, we believe that our
technology can be applied to a wide diversity of entity identification problems in several domains, e.g., e-
Health, cultural heritage, and company identities in financial world. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2013-46928-C3-3-R | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | ScitePress Digital Library | es |
dc.relation.ispartof | ICEIS 2015: 17th International Conference on Enterprise Information Systems (2015), p 404-408 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Software Engineering | es |
dc.subject | Big data | es |
dc.subject | Open data | es |
dc.subject | Entity Identification | es |
dc.subject | Intelligent Reconciliation | es |
dc.subject | Virtual Graphs | es |
dc.title | Entity Identification Problem in Big and Open Data | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | TIN2013-46928-C3-3-R | es |
dc.relation.publisherversion | https://www.scitepress.org/PublicationsDetail.aspx?ID=xviXRJpf9nU=&t=1 | es |
dc.identifier.doi | 10.5220/0005470704040408 | es |
dc.contributor.group | Universidad de Sevilla. TIC021: Ingeniería Web y Testing Temprano | es |
idus.format.extent | 5 | es |
dc.publication.initialPage | 404 | es |
dc.publication.endPage | 408 | es |
dc.eventtitle | ICEIS 2015: 17th International Conference on Enterprise Information Systems | es |
dc.eventinstitution | Barcelona, España | es |
dc.relation.publicationplace | Setúbal, Portugal | es |