We’re very pleased to announce the release of http://data.archiveshub.ac.uk, the first Linked Data set produced by the LOCAH project. The team has been working hard since the beginning of the project on modelling the complex archival data and transforming it into RDF Linked Data. This is now available in a variety of forms via the data.archiveshub.ac.uk home page. A number of previous blog posts outline the modelling and transformation process, the RDF terms used in the data, and the challenges and opportunities arising along the way. A forthcoming post will provide some example queries for accessing data from the SPARQL query endpoint. The data and content is licensed under a Creative Commons CC0 1.0 licence.
We’re working on a visualisation prototype that provides an example of how we link the Hub Data with other Linked Data sources on the Web using our enhanced dataset to provide a useful graphical resource for researchers.
One important point to note is that this initial release is a selected subset, representative of the Hub collection descriptions as a proof of concept, and does not contain the full Archives Hub dataset at present, although we are very keen to explore this in the future.
We still have some work to do, this being the initial release of the Hub data. Some revisions for a later release will address a few issues including reconciling our internal person and subject names, and will also contain some further enhancements to the data to include links to Library of Congress subject headings and further links to DBPedia based on subject terms. We also hope to include links for place names using Geonames and Ordnance Survey.
We encourage feedback on the data, the model and any other aspect of data.archiveshub.ac.uk, so please leave comments or contact us directly.
We are also working hard on our other main LOCAH release, the Copac Linked Data. Our first version of the model for this is now finished, and we have the data in our test triple store. We hope to release this in about a month’s time.
I’d personally like to thank the LOCAH team for all their hard work on this exciting and challenging project. I’d also like to thank our technology partner, Talis for kindly providing our Linked Data store.