Ruben Verborgh’s data

Matches in Ruben’s data for { ?s ?p "Scholarly publishing enhances the meaning of publications by enriching them with metadata. To achieve that, ad-hoc solutions were established so far for generating Linked Data from scholarly data, entailing non-negligible implementation and maintenance costs. Therefore, even though same or complementary data may be published by different data owners of scholarly data, existing ad-hoc solutions cannot be reused, whereas general purpose solutions were neglected. In this paper, we propose a Linked Data publishing workflow which can be (i) easily adjusted and, thus reused, by different data owners to generate and publish Linked Data from their data sources, and (ii) used to align scholarly data repositories with publications content. As a proof-of-concept, the proposed workflow was applied to iMinds research institute data warehouse which was aligned with publications derived from Ghent University’s digital repository. Moreover, a user interface, which is easily adjustable and extensible, was developed to facilitate lay users to explore semantically annotated data, as the ones of the iLastic Linked Data set."@en }

• 978-3-030-01379-0_2 abstract "Scholarly publishing enhances the meaning of publications by enriching them with metadata. To achieve that, ad-hoc solutions were established so far for generating Linked Data from scholarly data, entailing non-negligible implementation and maintenance costs. Therefore, even though same or complementary data may be published by different data owners of scholarly data, existing ad-hoc solutions cannot be reused, whereas general purpose solutions were neglected. In this paper, we propose a Linked Data publishing workflow which can be (i) easily adjusted and, thus reused, by different data owners to generate and publish Linked Data from their data sources, and (ii) used to align scholarly data repositories with publications content. As a proof-of-concept, the proposed workflow was applied to iMinds research institute data warehouse which was aligned with publications derived from Ghent University’s digital repository. Moreover, a user interface, which is easily adjustable and extensible, was developed to facilitate lay users to explore semantically annotated data, as the ones of the iLastic Linked Data set.".