We have witnessed a fundamental shift in the last few years as public search engines such as Google, Bing and Yandex have enhanced their services with web-scale knowledge graphs and massive extraction of semantically rich structured data from public websites. The SEO landscape, made of search industry practitioners, experts, established tools makers and savvy online publishers, had to start organizing strategies, content, and technologies around structured data markup, support for linked open vocabularies and data publishing to cope with this gigantic shift.
The existence of many digital libraries, maintained by different organizations, brings challenges to the discoverability of cultural heritage (CH) resources. Metadata aggregation is an approach where centralized efforts like Europeana facilitate their discoverability by collecting the resource’s metadata. Nowadays, CH institutions are increasingly applying technologies designed for the wider interoperability on the Web. In this context, we have identified the Schema.org vocabulary and linked data (LD) as potential technologies for innovating CH metadata aggregation.