Use of fuzzy logic as a strategy to evaluate trust and accessibility of DataSet published in SPARQL Endpoints

Abstract

The Semantic web has provided tools such as Linked Data, which has allowed for the advancement of Linked Open Data processes. With the growing publication of open data, different challenges have been generated in terms of the linked data quality, vital requirements for the benefit of consumers who wish to use the published data. To address these challenges, models and tools have been generated to evaluate data
quality. A large part of these tools base their work on the measurement of variables using traditional mathematical models, restricting the quality assessment itself. This paper aims to propose a method for evaluating open data under Linked Open Data specifications, published in SPARQL Endpoints, by implementing a model based on fuzzy logic. This model will allow comparing traditional evaluation models, without the need to restrict the quality aspects with which it can be measured. Finally, the results obtained and future work are presented.