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
fDate :
Aug. 31 2009-Sept. 4 2009
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;
Conference_Titel :
Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on
Conference_Location :
Linz
Print_ISBN :
978-0-7695-3763-4
DOI :
10.1109/DEXA.2009.13