Faceted Views over Large-Scale Linked Data
نویسندگان
چکیده
Faceted views over structured and semi structured data have been popular in user interfaces for some years. Deploying such views of arbitrary linked data at arbitrary scale has been hampered by lack of suitable back end technology. Many ontologies are also quite large, with hundreds of thousands of classes. Also, the linked data community has been concerned with the processing cost and potential for denial of service presented by public SPARQL end points. This paper discusses how we use Virtuoso Cluster Edition for providing interactive browsing over billions of triples, combining full text search, structured querying and result ranking. We discuss query planning, run time inferencing and partial query evaluation. This functionality is exposed through SPARQL, a specialized web service and a web user interface.
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