Since this December’s release, hosting the monthly dblp dump snapshots (in both XML and RDF/N-Triples format) has moved to the Dagstuhl Research Online Publication Server (DROPS). This step brings many advantages over the old Apache Directory Listings solution that dblp has been using since the mid-1990s: The DROPS digital library provides a clean and well-structured user interface, metadata and BibTeX records for all datasets are readily available, and required auxiliary files (like the matching DTD files for the XML releases) are always just one click away. However, the probably most important improvement is that each dblp data release is now (finally!) properly registered for and labeled with a DOI. DOIs for dblp data releases All persistently stored dataset releases have Read more…
The dblp Knowledge Graph (dblp KG) is a fully semantic view on all the data and relationships that you can find in the dblp computer science bibliography. In the recent years, the dblp team has been actively working on building the dblp KG, as we already discussed in several recent blog posts. It has already proven to be quite useful, as the dblp KG makes sharing dblp’s curated data and combining it with other semantic data sources easy and straightforward. But it also enables us to launch a new tool that will allow you to generate new insights well beyond the current capabilities of our prepared web pages and our simple text-based search: our brand new dblp SPARQL query service. Read more…
More than two years ago, we first published our dblp Knowledge Graph as an dblp RDF dump file. We have since been working on expanding and updating our RDF schema, as well as on adding new semantic relations to the graph. Today, we release our first major extension to the dblp KG: We added publication venues (e.g., journals and conference series) as first-class entities to the graph. Introducing dblp:Stream Until recently, the dblp KG had been mainly an “almost bipartite” graph of publications (dblp:Publication) and their creators (dblp:Creator). At some point we introduced further reification entities to model more context, but the publication-creator network remained at the core of the graph. With the new dblp:Stream class we now introduce a Read more…