Transactional and incremental type inference from data updates
File(s)
Published version
Author(s)
Liu, Y
McBrien, Peter
Type
Journal Article
Abstract
A distinctive property of relational database systems is the ability to perform data updates and queries in atomic blocks called transactions, with the well known ACID properties. To date, the ability of systems performing reasoning to maintain the ACID properties, even over data held within a relational database, has been largely ignored. This article studies an approach to reasoning over data from OWL 2 RL ontologies held in a relational database, where the ACID properties of transactions are maintained. Taking an incremental approach to maintaining materialised views of the result of reasoning, the approach is demonstrated to support a query and reasoning performance comparable to or better than other OWL reasoning systems, yet adding the important benefit of supporting transactions.
Date Issued
2017-03-01
Date Acceptance
2016-06-16
Citation
Computer Journal, 2017, 60 (3), pp.347-368
ISSN
0010-4620
Publisher
Oxford University Press
Start Page
347
End Page
368
Journal / Book Title
Computer Journal
Volume
60
Issue
3
Copyright Statement
© The British Computer Society 2016.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
License URL
Subjects
OWL
Incremental Reasoning
DBMS Transactions
ACID Properties
Materialised Views
Publication Status
Published
Date Publish Online
2016-09-02