Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Luzzu - A framework for linked data quality assessment

 
: Debattista, J.; Lange, C.; Auer, S.

:
Volltext (PDF; )

Villata, S.:
ISWC-P&D 2015, ISWC 2015 Posters & Demonstrations Track. Online resource : Proceedings of the ISWC 2015 posters & demonstrations track, co-located with the 14th International Semantic Web Conference (ISWC-2015), Bethlehem, PA, USA, October 11, 2015
Bethlehem/Pa., 2015 (CEUR Workshop Proceedings 1486)
http://ceur-ws.org/Vol-1486/
Paper 74, 4 S.
International Semantic Web Conference (ISWC) <14, 2015, Bethlehem/Pa.>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

Abstract
With the increasing adoption and growth of the Linked Open Data cloud, the variety of the Web of Data makes it challenging to determine the quality of the data published on the Web and to subsequently make this information explicit to data consumers. In this demo paper we describe Luzzu, a scalable quality assessment framework for Linked Data. Apart from providing quality metadata and quality problem reports that can be used for data cleaning, Luzzu is extensible: third party metrics can be easily plugged-in the framework. Hence, the extensibility of Luzzu enables the quality assessment in light of "fitness for use".

: http://publica.fraunhofer.de/dokumente/N-418191.html