Hi Juan,
Can somebody point me to papers or maybe give their definition of
low quality data when it comes to LOD. What is the criteria for data
to be considered low quality.
besides Chris' PhD thesis, in particular pp. 10-35, I suggest standard
IQ / DQ works, e.g.
• Erhard Rahm and Hong Hai Do (2000): Data Cleaning: Problems and
Current Approaches, IEEE Data Eng. Bull. 23(4): 3-13 (2000)
• Wayne W. Eckerson (2002): Data Quality and the Bottom Line, Report,
The Data Warehousing Institute
• Wand, Y. and Wang, R. (1996): Anchoring Data Quality Dimensions in
Ontological Foundations, Communications of the ACM, November 1996. pp.
86–95.
• Wang, R., Kon, H. & Madnick, S. (1993): Data Quality Requirements
Analysis and Modelling, Ninth International Conference of Data
Engineering, Vienna, Austria.
You may also look at the recent work done by Christian Fuerber, a PhD
student of mine, in particular:
Fürber, Christian and Hepp, Martin: Using SPARQL and SPIN for Data
Quality Management on the Semantic Web, in: BIS 2010. Proceedings of
the 13th International Conference on Business Information Systems, May
3-5, 2010, Berlin, Germany, Springer LNBIP Vol 47, pp. 35-46.
PDF: http://www.heppnetz.de/files/fuerber-hepp-sparql-spin-dqm.pdf
Fürber, Christian and Hepp, Martin: Using Semantic Web Resources for
Data Quality Management, in: Proceedings of the 17th International
Conference on Knowledge Engineering and Knowledge Management
(EKAW2010), October 11-15, 2010, Lisbon, Portugal, Springer LNCS Vol.
6317, pp. 211-225, 2010.
PDF: http://www.heppnetz.de/files/dataquality-semweb-ekaw2010.pdf
Martin
