У нас вы можете посмотреть бесплатно The Linked Data Event Streams (LDES) profile for cultural heritage datasets или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Nuno Freire In the context of innovating the operating models and aggregation methods in the common European data space for cultural heritage, Europeana, the Dutch Digital Heritage Network, Datoptron P.C. (a software provider for cultural heritage (CH) aggregators) are cooperating to define aggregation methods based on Linked Data. This group initiated a cooperation with the SEMIC Support Centre – who maintains Linked Data Event Streams (LDES) – on an implementation report defining a profile of LDES that fulfils the metadata aggregation use case of the data space. LDES applies Linked Data principles to data streams, providing an API for automatic replication and synchronisation of datasets that is sustainable and cost effective. It also provides mechanisms that enable its functionality on domain-specific ontologies. Our work aims to define a profile for sharing/aggregating data from typical CH data sources, like library catalogues and archival/museum collections management systems, and CH knowledge bases. The profile defines an LDES stream of activities that describe changes to resources. It re-uses terms from the W3C Activity Streams vocabulary for describing the changes of creation, modification and deletion of data records, which allow data consuming applications to be aware of all of the changes that took place in the publishing system and know the complete set of resources available. The CH profile does not limit the ontologies that can be used for describing CH activities. These LDES event streams explicitly state the ontology in use to allow consuming applications to process the data accordingly using a SHACL shape. The profile is being defined and tested in practice in a pilot where the Dutch Heritage Network and Datoptron implement the profile by publishing some datasets via LDES streams, and Europeana implementing an open source application that consumes the streams.