- From: Martin Hepp <martin.hepp@ebusiness-unibw.org>
- Date: Mon, 25 Oct 2010 15:23:27 +0200
- To: Juan Sequeda <juanfederico@gmail.com>
- Cc: public-lod <public-lod@w3.org>, Chris Bizer <chris@bizer.de>
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
Received on Monday, 25 October 2010 13:24:07 UTC