Recuperação de informação: descoberta e análise de workflows para agregação de dados do patrimônio cultural

Abstract

In recent years, different cultural institutions have been making efforts to spread culture through the construction of a unique search interface, which integrates digital objects and facilitates data retrieval for lay users. However, integrating cultural data is not a trivial task, as these are diverse and unique, requiring a variety of steps between collection and presentation. In order to identify these steps, this research aims to locate data aggregation workflows and discuss them. To this end, descriptive and bibliographic research, of a qualitative nature, was carried out in academic databases and in gray literature. As a result, eight projects are presented: American Art Collaborative, DigitalNZ, D-NET Software, Europeana, Mexicana, Parthenos Aggregator, TROVE and UNLV's Linked Data Project. The analysis of the set of workflows resulted in eight different steps to be performed: 1. Extract, 2. Structure, 3. Transform, 4. Reconcile, 5. Store, 6. Publish, 7. Expose and 8. Enable new applications. In addition, the need for more detailed stages is also visible, so that it is possible to replicate the workflow, and enjoy its benefits in other institutions.