UKOLN Linked Data Workshop Highlights Opportunities and Challenges of Exposing Archives Hub and Copac as Linked Open Data
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UKOLN is a project that is exposing data from Archives Hub and Copac as linked open data. It is linking items from these datasets to other datasets like BBC, VIAF, DBPedia, and GeoNames. The project is creating prototypes to visualize the data and reporting on opportunities and barriers of exposing cultural heritage data as linked open data. One goal is to enable new ways of integrating and exploring related data across different sources.
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UKOLN Linked Data Workshop Highlights Opportunities and Challenges of Exposing Archives Hub and Copac as Linked Open Data
- 1. UKOLN is supported by: LOCAH Project Show and Tell 2 nd August 2011 e-Research South Linked Data Workshop, Oxford e-Research Centre, Oxford, UK Adrian Stevenson LOCAH Project Manager
- 12. BBC Music
- 14. Some challenges
- 16. Matching Places
- 17. Matching Places
- 19. Library of Congress Subject Headings
Notas do Editor
- Copac a union catalogue Both successful JISC services running for many years now Locah is a research project – will have to see if go into service with LD interface
- In hypertext web sites it is considered generally rather bad etiquette not to link to related external material. The value of your own information is very much a function of what it links to, as well as the inherent value of the information within the web page. So it is also in the Semantic Web. Remember, this is about machines linking – machines need identifiers; humans generally know when something is a place or when it is a person. BBC + DBPedia + GeoNames + Archives Hub + Copac + VIAF = the Web as an exploratory space
- This also an example of aggregating data
- More aggregation
- Data can be integrated from many diff sources
- Ex
- “ lower level” units interpreted in context of the higher levels of description Arguably “incomplete” without the contextual data. Relations are asserted, e.g. member-of/component-of But there is no requirement or expectation that data consumers will follow the links describing the relations