DocumentCode
2462428
Title
DSNotify - Detecting and Fixing Broken Links in Linked Data Sets
Author
Haslhofer, Bernhard ; Popitsch, Niko
Author_Institution
Dept. of Distrib. & Multimedia Syst., Univ. of Vienna, Vienna, Austria
fYear
2009
fDate
Aug. 31 2009-Sept. 4 2009
Firstpage
89
Lastpage
93
Abstract
The Linking Open Data (LOD) initiative has motivated numerous institutions to publish their data on the Web and to interlink them with those of other data sources. But since LOD sources are subject to change, links between resources can break and lead to processing errors in applications that consume linked data. The current practice is to ignore this problem and leave it to the applications what to do when broken links are detected. We believe, however, that LOD data sources should provide the highest possible degree of link integrity in order to relieve applications from this issue, similar to databases that provide mechanisms to preserve referential integrity in their data. As a possible solution, we propose DSNotify, an add-on for LOD sources that detects broken links and assists the data source in fixing them, e.g., when resources were moved to other Web locations.
Keywords
data integrity; database management systems; semantic Web; DSNotify; broken links; data integrity; data source; linked data sets; linking open data initiative; Clouds; Distributed databases; Expert systems; Humans; Joining processes; Libraries; Multimedia databases; Multimedia systems; Music information retrieval; Wikipedia; data quality; semantic web; web of data;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on
Conference_Location
Linz
ISSN
1529-4188
Print_ISBN
978-0-7695-3763-4
Type
conf
DOI
10.1109/DEXA.2009.13
Filename
5337374
Link To Document