1. [1] M. Acosta, A. Zaveri, E. Simperl, D. Kontokostas, S. Auer, and J. Lehmann, “Crowdsourcing linked data quality assessment,” In Proceedings of the 12th International Semantic Web Conference, vol.8219, pp.260-276, 2013.
2. [2] M. Breunig, H.-P. Kriegel, R.T. Ng, and J. Sander, “Optics-of: Identifying local outliers,” In Proceedings of the 3rd European Conference on Principles of Data Mining and Knowledge Discovery, vol.1704, pp.262-270, 1999.
3. [3] M.M. Breunig, H.-P. Kriegel, R.T. Ng, and J. Sander, “Lof: Identifying density-based local outliers,” SIGMOD Record, vol.29, no.2, pp.93-104, May 2000.
4. [4] V. Bryl and C. Bizer, “Learning conflict resolution strategies for cross-language wikipedia data fusion,” In Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion, pp.1129-1134, 2014.
5. [5] V. Chandola, A. Banerjee, and V. Kumar, “Anomaly detection: A survey,” ACM Comput. Surv., vol.41, no.3, pp.15:1-15:58, July 2009.