Modelling Entity Integrity for Semi-structured Big Data

Litvinenko, Ilya; Wei, Ziheng; Link, Sebastian

dc.contributor.author	Litvinenko, Ilya
dc.contributor.author	Wei, Ziheng
dc.contributor.author	Link, Sebastian
dc.date.accessioned	2022-10-10T00:53:52Z
dc.date.available	2022-10-10T00:53:52Z
dc.date.issued	2021-04-06
dc.identifier.citation	(2021). Lecture notes in computer science, 12681, 113-120.
dc.identifier.isbn	9783030731939
dc.identifier.issn	0302-9743
dc.identifier.uri	https://hdl.handle.net/2292/61548
dc.description.abstract	We propose a data model for investigating constraints that enforce the entity integrity of semi-structured big data. Particular support is given for the volume, variety, and veracity dimensions of big data.
dc.publisher	Springer Nature
dc.relation.ispartofseries	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rights	Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights	This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://doi.org/10.1007/978-3-030-73194-6_9 Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri	https://www.springer.com/gp/computer-science/lncs/editor-guidelines-for-springer-proceedings
dc.title	Modelling Entity Integrity for Semi-structured Big Data
dc.type	Conference Item
dc.identifier.doi	10.1007/978-3-030-73194-6_9
pubs.begin-page	113
pubs.volume	12681
dc.date.updated	2022-09-28T19:38:43Z
dc.rights.holder	Copyright: Springer Nature Switzerland AG	en
pubs.end-page	120
pubs.publication-status	Published
dc.rights.accessrights	http://purl.org/eprint/accessRights/OpenAccess	en
pubs.elements-id	852052
pubs.org-id	Science
pubs.org-id	School of Computer Science
dc.identifier.eissn	1611-3349
pubs.record-created-at-source-date	2022-09-29
pubs.online-publication-date	2021-04-06