Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/88006
Full metadata record
DC FieldValueLanguage
dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.identifier.isbn9783319085890pt
dc.identifier.isbn9783319085906pt_BR
dc.contributor.authorunicampDaltio, Jaudetept_BR
dc.contributor.authorunicampMedeiros, Claudia Maria Bauzerpt_BR
dc.typeArtigopt_BR
dc.titleHandling multiple foci in graph databasespt_BR
dc.title.alternativept_BR
dc.contributor.authorDaltio, Jaudetept_BR
dc.contributor.authorMedeiros, Claudia Bauzerpt_BR
unicamp.authorDaltio, J., Institute of Computing, UNICAMP, Campinas SP, Brazil, Brazilian Agricultural Research Corporation's, EMBRAPA, Brazilpt_BR
unicamp.authorMedeiros, C.B., Institute of Computing, UNICAMP, Campinas SP, Brazilpt_BR
dc.subjectBanco de dadospt_BR
dc.subjectGrafo (Sistema de computador)pt_BR
dc.subjectModelagem de dadospt_BR
dc.subjectGerenciamento da informaçãopt_BR
dc.subject.otherlanguageDatabasespt_BR
dc.subject.otherlanguageGraph (Computer system)pt_BR
dc.subject.otherlanguageData modelingpt_BR
dc.subject.otherlanguageInformation managementpt_BR
dc.description.abstractScientific research has become data-intensive and data-dependent, with distributed, multidisciplinary, teams creating and sharing their findings. Graph databases are being increasingly considered as a computational means to loosely integrate such data, in particular when relationships among data and the data itself are at the same importance level. However, a problem to be faced in this context is that of multiple foci-where a focus, here, is a perspective on the data, for a particular research team and context. This paper describes a conceptual framework for the construction of arbitrary foci on graph databases, to help solve this problem. The framework, under construction, is illustrated using examples based on needs of teams involved in biodiversity research. © 2014 Springer International Publishing Switzerland.en
dc.description.abstractScientific research has become data-intensive and data-dependent, with distributed, multidisciplinary, teams creating and sharing their findings. Graph databases are being increasingly considered as a computational means to loosely integrate such data, inpt_BR
dc.relation.ispartofLecture notes in computer sciencept_BR
dc.publisher.cityHeidelbergpt_BR
dc.publisher.countryAlemanhapt_BR
dc.publisherSpringerpt_BR
dc.date.issued2014pt_BR
dc.date.monthofcirculationpt_BR
dc.identifier.citationLecture Notes In Computer Science (including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics). Springer Verlag, v. 8574 LNBI, n. , p. 58 - 65, 2014.pt_BR
dc.language.isoengpt_BR
dc.description.volume8574pt_BR
dc.description.issuesupplementpt_BR
dc.description.issuepartpt_BR
dc.description.issuespecialpt_BR
dc.description.firstpage58pt_BR
dc.description.lastpage65pt_BR
dc.rightsfechadopt_BR
dc.rightsFechadopt_br
dc.sourceSCOPUSpt_BR
dc.identifier.issn0302-9743pt_BR
dc.identifier.eissn1611-3349pt_BR
dc.identifier.doi10.1007/978-3-319-08590-6-6pt_BR
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/978-3-319-08590-6_6pt_BR
dc.description.sponsorshipFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOpt_BR
dc.description.sponsorshipCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOpt_BR
dc.description.sponsordocumentnumbersem informaçãopt_BR
dc.description.sponsordocumentnumbersem informaçãopt_BR
dc.date.available2015-06-25T18:03:14Z
dc.date.available2015-11-26T15:05:41Z-
dc.date.accessioned2015-06-25T18:03:14Z
dc.date.accessioned2015-11-26T15:05:41Z-
dc.description.provenanceMade available in DSpace on 2015-06-25T18:03:14Z (GMT). No. of bitstreams: 1 2-s2.0-84904760745.pdf: 692004 bytes, checksum: d680b414ac73dfc8e6e430cab448ba73 (MD5) Previous issue date: 2014 Bitstreams deleted on 2021-01-04T14:26:03Z: 2-s2.0-84904760745.pdf,. Added 1 bitstream(s) on 2021-01-04T14:27:02Z : No. of bitstreams: 2 2-s2.0-84904760745.pdf: 757779 bytes, checksum: 8ed6330001eabc0ec4e78fbaff56f23e (MD5) 2-s2.0-84904760745.pdf.txt: 21691 bytes, checksum: fee8b654af171cb8fafc469fc10eebbc (MD5)en
dc.description.provenanceMade available in DSpace on 2015-11-26T15:05:41Z (GMT). No. of bitstreams: 2 2-s2.0-84904760745.pdf: 692004 bytes, checksum: d680b414ac73dfc8e6e430cab448ba73 (MD5) 2-s2.0-84904760745.pdf.txt: 21691 bytes, checksum: fee8b654af171cb8fafc469fc10eebbc (MD5) Previous issue date: 2014en
dc.identifier.urihttp://www.repositorio.unicamp.br/handle/REPOSIP/88006
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/88006-
dc.identifier.idScopus2-s2.0-84904760745pt_BR
dc.description.referenceAngles, R., Gutierrez, C., (2008) Survey of Graph Database Models, 40 (1), pp. 11-139. , ACM Comput. Survpt_BR
dc.description.referenceBizer, C., D2rq-treating non-rdf databases as virtual rdf graphs (2004) Proceedings of the 3rd International Semantic Web Conferencept_BR
dc.description.referenceBrandes, U., Erlebach, T., Network analysis: Methodological foundations (2005) LNCS, , Springer-Verlag, New York Inc., Secaucuspt_BR
dc.description.referenceColazzo, D., Sartiani, C., Typing query languages for data graphs (2014) Graph Data Management: Techniques and Applications, , I. W. onpt_BR
dc.description.referenceCugler, D.C., Medeiros, C.B., Toledo, L.F., An architecture for retrieval of animal sound recordings based on context variables (2011) Concurrency and Computation: Practice and Experience, pp. 1-17pt_BR
dc.description.referenceDaltio, J., Medeiros, C.B., Aond̂e: An ontology web service for interoperability across biodiversity applications (2008) Information Systems, 33 (7-8), pp. 724-753pt_BR
dc.description.referenceFurtado, A., Sevcik, K., Santos, C., Permitting updates through views of databases (1979) Informations Systems, 4, pp. 269-283pt_BR
dc.description.referenceGuarino, N., Formal ontology and information systems (1998) Proceedings of Formal Ontology in Information System, pp. 3-15. , IOS Presspt_BR
dc.description.referenceHey, T., Tansley, S., Tolle, K., The fourth paradigm: Data-intensive scientific discovery (2009) Microsoft Research, , Redmondpt_BR
dc.description.referenceNoy, N.F., Musen, M.A., Specifying ontology views by traversal (2004) LNCS, 3298, pp. 713-725. , McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004, Springer, Heidelbergpt_BR
dc.description.referencePark, Y., Shankar, M., Park, B., Ghosh, J., Graph databases for large-scale healthcare systems: A framework for efficient data management and data services (2014) Graph Data Management: Techniques and Applications, , I. W. onpt_BR
dc.description.referenceRobinson, I., Webber, J., Eifrem, E., (2013) Graph Databases, , O'Reilly Media, Incorporatedpt_BR
dc.description.referenceSantanche, A., Medeiros, C.B., Jomier, J., Zam, M., Challenges of the anthro-pocene epoch-supporting multi-focus research (2012) Proc XIII GeoINFOpt_BR
dc.description.referenceWood, P.T., Query languages for graph databases (2012) SIGMOD Rec., 41 (1), pp. 50-60pt_BR
dc.description.referenceZhou, S., Jones, C.B., A multi-representation spatial data model (2003) LNCS, 2750, pp. 394-411. , Hadzila-cos, T., Manolopoulos, Y., Roddick, J., Theodoridis, Y. (eds.) SSTD 2003, Springer, Heidelbergpt_BR
dc.description.conferencenome10th International conference on data integration in the life sciences (DILS)pt_BR
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentDepartamento de Sistemas de Informaçãopt_BR
dc.contributor.unidadeInstituto de Computaçãopt_BR
dc.contributor.unidadeInstituto de Computaçãopt_BR
dc.subject.keywordeSciencept_BR
dc.subject.keywordGraph databasept_BR
dc.subject.keywordFocus viewspt_BR
dc.identifier.source2-s2.0-84904760745pt_BR
dc.creator.orcidsem informaçãopt_BR
dc.creator.orcid0000-0003-1908-4753pt_BR
dc.type.formArtigo de eventopt_BR
Appears in Collections:IC - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
2-s2.0-84904760745.pdf740.02 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.