An automatic data quality approach to assess semantic data from cultural heritage institutions
本文提出一种自动评估文化遗产机构发布的关联开放数据质量的方法，帮助机构评估其馆藏数据质量，对从事数字人文和数据科学的研究者有用。
Abstract In recent years, cultural heritage institutions have been exploring the benefits of applying Linked Open Data to their catalogs and digital materials. Innovative and creative methods have emerged to publish and reuse digital contents to promote computational access, such as the concepts of Labs and Collections as Data . Data quality has become a requirement for researchers and training methods based on artificial intelligence and machine learning. This article explores how the quality of Linked Open Data made available by cultural heritage institutions can be automatically assessed. The results obtained can be useful for other institutions who wish to publish and assess their collections.