
doi: 10.14288/1.0362307
Linked data is the term used to refer to the set of technologies and best practices aimed to prepare and publish data in a way it can be interlinked and shared on the Semantic Web. The Semantic Web is the next level of evolution of the internet as we use it today, where machines will be able to understand the semantic meaning of information provided by humans. Although its multiple potential applications to Libraries and Archives, linked data implementation is still incipient in this setting. This study aims to identify and explain the core concepts related to linked data, as well as to explore its possible applications for Libraries and Archives. The theoretical component of this project comprised a literature review and the creation of narratives for the definition of Linked Data main concepts and frameworks. The practical component included prototyping and testing of Linked Data web applications using UBC Open Collections metadata.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
