- Workshop date
- Monday 29th May, 2017
- Morning half, 09 - 12:30
- Mediterania II (11th Floor)
- 09:00-09:10 Workshop Introduction. Amrapali Zaveri, Anastasia Dimou
- 09:10-10:00 Keynote: Measuring Metadata Quality and the Europeana use case. Péter Király
- 10:00-10:30 A Linked Data Profiling Service for Quality Assessment. Nandana Mihindukulasooriya, Raúl García-Castro, Freddy Priyatna, Edna Ruckhaus and Nelson Saturno
- 10:30-11:00 Coffee break
- 11:00-11:30 Towards Ontology Quality Assessment. Silvio Mc Gurk, Charlie Abela and Jeremy Debattista
- 11:30-12:00 An Ontology-based Validation Approach to Resolve Conflicts in the Manufacturing Design Process. Kazunari Hashimoto, Yohei Yamane, Seiji Suzuki, Motoyuki Takaai, Masao Watanabe and Hiroshi Umemoto
- 12:00-12:30 Questions and Discussion (discussing the topics collected during the workshop at https://board.net/p/ldq2017)
Presenter: Péter Király is a researcher at Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG).
Title: Measuring Metadata Quality and the Europeana use case
Abstract: In cultural heritage institutions metadata creation has long history. The metadata standards themselves evolved over times, several of them have regional and language variations, and most of them leave space for local, institution-specific habits and costumes. Big digital libraries, such as Europeana, the German Digital Library, or the Digital Public Library of America collects metadata records from different domains (libraries, museums, archives), originally created in different metadata standards, locations, times and languages. To build good and reliable data services upon those records, we should know more about the characteristics of the collection. Metadata quality assurance help us to find the weak points, and collaboration with the creators of the data these institutions will be able to improve the collections, and thus the services.
The talk will show this process through the example of Europeana. We will discuss the state-of-the-art of the (meta)data quality assessment researches, the findings of the functional requirement analyses of Europeana records, the data quality analysing framework we build, the general and specific metrics, the visualization, and the scalability issues.