dc.contributor.author |
Link, Sebastian |
|
dc.contributor.editor |
Dobbie, G |
|
dc.contributor.editor |
Frank, U |
|
dc.contributor.editor |
Kappel, G |
|
dc.contributor.editor |
Liddle, SW |
|
dc.contributor.editor |
Mayr, HC |
|
dc.coverage.spatial |
AUSTRIA, Vienna |
|
dc.date.accessioned |
2022-10-10T00:25:04Z |
|
dc.date.available |
2022-10-10T00:25:04Z |
|
dc.date.issued |
2020-10-29 |
|
dc.identifier.citation |
(2020). Lecture notes in computer science, 12400, 19-33. |
|
dc.identifier.isbn |
9783030625214 |
|
dc.identifier.issn |
0302-9743 |
|
dc.identifier.uri |
https://hdl.handle.net/2292/61546 |
|
dc.description.abstract |
Keys play a fundamental role in every data model. They stipulate how real-world entities are identified in the database but also how to physically and logically organize access to data. Neo4j is currently the most popular graph database management system. We address fundamental questions about key constraints as formally defined by the Cypher language of Neo4j. Answers include axiomatic and algorithmic solutions to their implication problem. |
|
dc.publisher |
Springer Nature |
|
dc.relation.ispartof |
39th International Conference on Conceptual Modeling (ER) |
|
dc.relation.ispartofseries |
CONCEPTUAL MODELING, ER 2020 |
|
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/10.1007/978-3-030-62522-1_2 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.subject |
Science & Technology |
|
dc.subject |
Technology |
|
dc.subject |
Computer Science, Interdisciplinary Applications |
|
dc.subject |
Computer Science, Theory & Methods |
|
dc.subject |
Computer Science |
|
dc.subject |
Integrity |
|
dc.subject |
Key |
|
dc.subject |
Neo4j |
|
dc.subject |
Property graph |
|
dc.subject |
Reasoning |
|
dc.subject |
RELATIONAL DATABASES |
|
dc.subject |
CONSTRAINTS |
|
dc.title |
Neo4j Keys |
|
dc.type |
Conference Item |
|
dc.identifier.doi |
10.1007/978-3-030-62522-1_2 |
|
pubs.begin-page |
19 |
|
pubs.volume |
12400 |
|
dc.date.updated |
2022-09-28T19:42:37Z |
|
dc.rights.holder |
Copyright: Springer Nature Switzerland AG |
en |
pubs.author-url |
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000587241100002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e41486220adb198d0efde5a3b153e7d |
|
pubs.end-page |
33 |
|
pubs.finish-date |
2020-11-06 |
|
pubs.publication-status |
Published |
|
pubs.start-date |
2020-11-03 |
|
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.elements-id |
832568 |
|
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 |
2020-10-29 |
|