Measuring completeness as metadata quality metric in Europeana
| Autor: | Péter Király, Marco Büchler |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Data collection
Information retrieval Quality management Computer science 05 social sciences computer.software_genre Cultural heritage Metadata 0501 psychology and cognitive sciences 0509 other social sciences 050904 information & library sciences Completeness (statistics) computer 050104 developmental & child psychology Data integration |
| Zdroj: | IEEE BigData |
| DOI: | 10.1109/bigdata.2018.8622487 |
| Popis: | Europeana, the European digital platform for cultural heritage, has a heterogeneous collection of metadata records ingested from more than 3200 data providers. The original nature and context of these records were different. In order to create effective services upon them we should know the strength and weakness or in other words the quality of these data. This paper proposes a method and an open source implementation to measure some structural features of these data, such as completeness, multilinguality, uniqueness, record patterns, to reveal quality issues. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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