A Fuzzy Approach for Data Quality Assessment of Linked Datasets

Narciso Arruda, J. Alcântara, V. Vidal, Angelo Brayner, M. Casanova, V. Pequeno, Wellington Franco
2019 Proceedings of the 21st International Conference on Enterprise Information Systems  
For several applications, an integrated view of linked data, denoted linked data mashup, is a critical requirement. Nonetheless, the quality of linked data mashups highly depends on the quality of the data sources. In this sense, it is essential to analyze data source quality and to make this information explicit to consumers of such data. This paper introduces a fuzzy ontology to represent the quality of linked data source. Furthermore, the paper shows the applicability of the fuzzy ontology
more » ... the process of evaluating data source quality used to build linked data mashups.
doi:10.5220/0007718803990406 dblp:conf/iceis/ArrudaAVBCPF19 fatcat:5epajsdohrbynmwl33bwpstj74