An automatic data quality approach to assess semantic data from cultural heritage institutions
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...
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| Veröffentlicht in: | Journal of the American Society for Information Science and Technology 2023-07, Vol.74 (7), p.866-878 |
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| container_issue | 7 |
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| container_title | Journal of the American Society for Information Science and Technology |
| container_volume | 74 |
| creator | Candela, Gustavo |
| description | 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. |
| doi_str_mv | 10.1002/asi.24761 |
| format | Article |
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| identifier | ISSN: 2330-1635 |
| ispartof | Journal of the American Society for Information Science and Technology, 2023-07, Vol.74 (7), p.866-878 |
| issn | 2330-1635 2330-1643 |
| language | eng |
| recordid | cdi_proquest_journals_2822179002 |
| source | EBSCOhost Business Source Complete; Access via Wiley Online Library |
| subjects | Artificial intelligence Cultural heritage Cultural resources Institutions Linked Data Machine learning Open data Quality assessment Semantics |
| title | An automatic data quality approach to assess semantic data from cultural heritage institutions |
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