This server is a demonstration of the DADA project Annotation store currently being developed by Steve Cassidy at Macquarie University. The DADA project aims to develop a web based store for Linguistic annotation data to enable publication and collaborative annotation of language data over the web. This server is both a development platform and a demonstration of the current state of the project.
The Demo DADA server is an instance of the Python based annotation store interface. It allows browsing of annotation data via a web browser and retrieval of data in various representations using HTTP content negotiation. The default view in the browser is HTML but XML and JSON representations can also be retrieved. The server currently supports ingestion of ELAN annotation files and data from the Open American National Corpus in the GrAF standoff format. The DADA SPARQL query endpoint allows SPARQL queries to be run against the data stored in the RDF annotation store.
The Experimental Sesame Store is a Sesame triple store with some data from the Open American National Corpus loaded in our RDF annotation format. Sesame is much faster than the Redland RDF store used in the current version of the DADA server above and scales to the millions of triples generated by the OANC data. You can browse the store via the web interface and try SPARQL queries to experiment with the data.