1. Acosta, M., Zaveri, A., Simperl, E., Kontokostas, D., Flöck, F., & Lehmann, J. (2017). Detecting Linked Data quality issues via crowdsourcing: A DBpedia study. Semantic Web(Preprint), 1–33.
2. Auer, S. (2011). Creating knowledge out of interlinked data: Making the web a data washing machine. Paper presented at the Proceedings of the International Conference on Web Intelligence, Mining and Semantics.
3. Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., & Ives, Z. (2007). Dbpedia: A nucleus for a web of open data. The Semantic Web, 722–735.
4. Auer, S., Lehmann, J., Ngomo, A.-C. N., & Zaveri, A. (2013). Introduction to linked data and its lifecycle on the web. In Reasoning web. Semantic technologies for intelligent data access (pp. 1–90). Heidelberg, Germany: Springer.
5. Bernstein, M. S., Little, G., Miller, R. C., Hartmann, B., Ackerman, M. S., Karger, D. R., … Panovich, K. (2015). Soylent: A word processor with a crowd inside. Communications of the ACM, 58(8), 85–94.