Output details
11 - Computer Science and Informatics
University of Huddersfield
Article title
High-level change detection in RDF(S) KBs
Type
D - Journal article
Title of journal
ACM Transactions on Database Systems
Article number
-
Volume number
38
Issue number
1
First page of article
1
ISSN of journal
0362-5915
Year of publication
2013
Number of additional authors
4
Additional information
<15>This paper addresses for the first time a particular aspect of change management for RDF(S) (Linked Open) data, namely the problem of detecting the changes (delta) between versions of the same KBs developed and maintained by different groups of curators. This work was carried out within the European projects CaSPAR and KP-LAB, and laid an important foundation for the recently established projects DIACHRON and PRELIDA. A preliminay version won the Best Student Paper Award at ISWC 2009 and attracted 42 citations (Google Scholar, checked on 09/10/13). TODS is a top journal in the area of database systems.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
