B. Hu, E. M. Rodrigues, E. Viel, and . Capri, Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services -iiWAS 2014 pp, pp.217-223, 2014.

P. A. Bonatti, A. Hogan, A. Polleres, and L. Sauro, Robust and scalable Linked Data reasoning incorporating provenance and trust annotations, Web Semantics: Science, Services and Agents on the World Wide Web, vol.9, issue.2, pp.165-201, 2011.
DOI : 10.1016/j.websem.2011.06.003

S. Auer, I. Ermilov, J. Lehmann, and M. Martin, LODStats -9960 datasets, 2016.

I. Ermilov, J. Lehmann, M. Martin, and S. Auer, LODStats: The Data Web Census Dataset. International Semantic Web Conference, pp.38-46, 2016.

H. Thakkar, K. M. Endris, J. M. Gimenez-garcia, J. Debattista, C. Lange et al., Are Linked Datasets fit for Open-domain Question Answering? A Quality Assessment, Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics - WIMS 2016 pp, pp.1-12, 2016.

J. Debattista, . Auer, . Sö, and C. Lange, Luzzu???A Methodology and Framework for Linked Data Quality Assessment, Journal of Data and Information Quality, vol.8, issue.1, pp.1-32, 2016.
DOI : 10.3233/SW-150175

M. Hellmann, Fuzzy Logic Introduction, pp.1-9, 2001.

A. Zaveri, A. Rula, A. Maurino, R. Pietrobon, J. Lehmann et al., Quality Assessment Methodologies for Linked Open Data A Systematic Literature Review and Conceptual Framework Retrieved from http, pp.1-5, 2012.

H. Stella-vagaska-alena, Application of Fuzzy Principles in Evaluating Quality of Manufacturing Process, WSEAS TRANSACTIONS ON POWER SYSTEMS, vol.7, issue.2, pp.1-10, 2012.

F. Dernoncourt, Introduction to fuzzy logic Massachusets Institute of Technology, pp.1-21, 2013.

D. J. Lewis and T. P. Martin, Managing Vagueness with Fuzzy in Hierarchical Big Data1, Procedia Computer Science, vol.53, pp.19-28, 2015.
DOI : 10.1016/j.procs.2015.07.275

A. Zaveri, Linked Data Quality Assessment and its Application to Societal Progress Measurement Retrieved from https, University of Leipzig, 2015.

O. Hartig and J. Zhao, Using Web Data Provenance for Quality Assessment, Proceedings of the First International Conference on Semantic Web in Provenance Management, pp.29-34, 2009.

M. Ne?aský, J. Klímek, D. Chlapek, J. Ku?era, J. Mynarz et al., from https, OpenData.cz, 2015.

I. Datastar, How to Interpret Standard Deviation and Standard Error in Survey Research, 2013.