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A Fuzzy Approach for Data Quality Assessment of Linked Datasets
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
doi:10.5220/0007718803990406
dblp:conf/iceis/ArrudaAVBCPF19
fatcat:5epajsdohrbynmwl33bwpstj74