Name
Abstract | ||
|---|---|---|
The lack of granular and rich descriptive metadata highly affects the discoverability and usability of cultural heritage collections aggregated and served through digital platforms, such as Europeana, thus compromising the user experience. In this context, metadata enrichment services through automated analysis and feature extraction along with crowdsourcing annotation services can offer a great opportunity for improving the metadata quality of digital cultural content in a scalable way, while at the same time engaging different user communities and raising awareness about cultural heritage assets. To address this need, we propose the CrowdHeritage open end-to-end enrichment and crowdsourcing ecosystem, which supports an end-to-end workflow for the improvement of cultural heritage metadata by employing crowdsourcing and by combining machine and human intelligence to serve the particular requirements of the cultural heritage domain. The proposed solution repurposes, extends, and combines in an innovative way general-purpose state-of-the-art AI tools, semantic technologies, and aggregation mechanisms with a novel crowdsourcing platform, so as to support seamless enrichment workflows for improving the quality of CH metadata in a scalable, cost-effective, and amusing way. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.3390/info12020064 | INFORMATION |
Keywords | DocType | Volume |
crowdsourcing, automatic enrichment, user validation, annotation model, cultural heritage | Journal | 12 |
Issue | Citations | PageRank |
2 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eirini Kaldeli | 1 | 0 | 2.03 |
| Orfeas Menis-Mastromichalakis | 2 | 0 | 0.34 |
| Spyros Bekiaris | 3 | 0 | 0.34 |
| Maria Ralli | 4 | 0 | 1.01 |
| Vassilis Tzouvaras | 5 | 0 | 0.34 |
| Giorgos Stamou | 6 | 0 | 0.34 |