they claim that they have a Jena TDB fork indeed. The evaluation code is online here:
https://gqgh5wfgzt.github.io/benchmark-leapfrog/ and the jena (3.9.0) fork is here: https://github.com/GQgH5wFgzT/jena the paper URL is here https://link.springer.com/content/pdf/10.1007%2F978-3-030-30793-6_15.pdf On Thu, Oct 31, 2019 at 1:09 PM Andy Seaborne <a...@apache.org> wrote: > Yes - some interesting papers. > > I noted: > > "SHACL Constraints with Inference Rules" > Paolo Pareti, George Konstantinidis, Timothy J. Norman, > and Murat Şensoy > > "Validating SHACL Constraints over a SPARQL Endpoint" > Julien Corman, Fernando Florenzano, Juan L. Reutter, > and Ognjen Savković > > Now, I wonder if the source code for LeapfrogJoin is avaiable for TDB > ... not expecting fully integrated but as something to at least look at. > It looks like a sideways information passing paradigm at first glance. > > Andy > > On 31/10/2019 10:01, Marco Neumann wrote: > > FYI had a quick look over the ISWC 2019 proceedings and there are 8 > papers > > that make direct reference to the (Apache) Jena project > > > > https://iswc2019.semanticweb.org/proceedings/ > > > > Decentralized Indexing over a Network of RDF Peers. ISWC 2019 > > Christian Aebeloe, Gabriela Montoya and Katja Hose > > > > Mining Significant Maximum Cardinalities in Knowledge Bases. ISWC 2019 > > Arnaud Giacometti, B´eatrice Markhoff and Arnaud Soulet > > > > A Worst-Case Optimal Join Algorithm for SPARQL. ISWC 2019. > > Aidan Hogan, Cristian Riveros, Carlos Rojas and Adri´an Soto > > > > Type Checking Program Code Using SHACL. ISWC 2019. > > Martin Leinberger, Philipp Seifer, Claudia Schon, Ralf L¨ammel and > Steffen > > Staab > > > > A Framework for Evaluating Snippet Generation for Dataset Search. ISWC > 2019 > > Xiaxia Wang, Jinchi Chen, Shuxin Li, Gong Cheng, Jeff Z. Pan, Evgeny > > Kharlamov, and Yuzhong Qu > > > > The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity. > ISWC > > 2019. > > Elmar Kiesling, Andreas Ekelhart, Kabul Kurniawan and Fajar Ekaputra: > > > > Sparklify: A Scalable Software Component for Efficient Evaluation of > SPARQL > > Queries over Distributed RDF Datasets. ISWC 2019 > > Claus Stadler, Gezim Sejdiu, Damien Graux and Jens Lehmann > > > > Benefit Graph Extraction from Healthcare Policies. ISWC 2019 > > Vanessa Lopez, Valentina Rho, Theodora S. Brisimi,Fabrizio Cucci, Morten > > Kristiansen, John Segrave-Daly, Jillian Scalvini, John Davis and Grace > > Ferguson > > > > In particular I'd like to draw your attention to the following claim in > "A > > Worst-Case Optimal Join Algorithm for SPARQL" which states that "[o]ur > > results show that with this new join algorithm, Apache Jena often runs > > orders of magnitude faster than the base version and two other SPARQL > > engines: Virtuoso and Blazegraph." which I believe warrants a closer look > > at the proposed improvements by the authors. > > > -- --- Marco Neumann KONA
