New SwetoDblp RDF dataset released with 11M triples

Added By Infochimps

The LSDIS (Large Scale Distributed Information Systems) lab at the University of Georgia has released a new version of the SwetoDblp dataset. SwetoDblp is a large-size ontology (spin-off of SWETO ontology) focused on bibliography data of Computer Science publications where the main data source is DBLP (Digital Bibliography & Library Project). The dataset has about 11M triples that capture the data in DBLP (Digital Bibliography & Library Project) enriched with other datasets adding relationships to other entities including publishers, companies and universities. Rather than being a simple mapping of DBLP’s flat XML rendering, it’s based on a good ontology with lots of classes and individuals.