Assessing Quality in Automated Metadata Aggregation and Mapping Services

Over the last decade, Europe has put tremendous effort into making cultural, educational and scientific resources available via online services. It is now possible to tap into this vast amount of resources and build applications making use of scientific and cultural heritage data, aggregating and converting them on the fly with services deployed in the cloud. This paper addresses the problem assessing the quality of the source metadata from different data providers and the quality of automatic mappings needed for the aggregation of heterogeneous data. We describe tools for integrated quality assessment and present the results achieved.