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German native speakers can find my thesis here: http://www.pnjb.de/uni/diplomarbeit/repositorien_und_das_semantic_web.pdf.
State of this document
This document is a rather small documentation of dspace-rdf, but I wanted to share this contribution as early as possible. German native speakers should take a look inside my thesis. Chapters 4.2 and 5.1 explain the ideas behind the concept, while chapters 4.3 and 5.2 documents the implementation. Chapter 5.3 contains the things to be done before dspace-rdf can be used in a productive environment. On topic left to be done actually is a good english documentation.
dspace-rdf
dspace-rdf is an extension for DSpace that adds capabilities to convert contents stored in DSpace into RDF, to store the converted data in a Triple Store and to provide it as serializations of RDF. The Triple Store must support SPARQL 1.1 and can be used to provide the converted data over a read-only SPARQL endpoint. dspace-rdf can currently be found on my github repositoriy, but I would be glad to contribute it to a future version of DSpace.
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In the folder [dspace-install]/config/modules/rdf/ you'll find more configuration files. The files named
RDFizer
The RDFizer is a command line interface administrators can use to convert the complete repository contents, some content specified by its handle or to delete data from the Triple Store. If the Triple Store is reachable the RDFConsumer converts data at the moment it is changed within DSpace so that the Triple Store should stay synchronized with the repository. You can get the online help by executing the following command:
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[dspace-install]/bin/dspace dsrun org.dspace.rdf.RDFizer --help |
If you add dspace-rdf to an existing DSpace instance you should run the RDFizer at leas once to initially convert already existing Items, Collections and Communities.
Development / API
TODOs
dspace-rdf is realized as a new module of DSpace as it contains a webapp and everyone should be able to decide whether it should be deployed or not. The webapp is used to provide the data in serializations of RDF (RDF/XML, Turtle, N-Triples and N3-Notation).
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