LDBC and Apache Flink
We are welcoming Martin Junghanns to LDBC blog today sharing his project at Leipzig University to transform the output of LDBC datagen into Apache Flink's data sets that can be used by Flink's DataSet API.


We are welcoming Martin Junghanns to LDBC blog today sharing his project at Leipzig University to transform the output of LDBC datagen into Apache Flink's data sets that can be used by Flink's DataSet API.
The LDBC consortium is pleased to announce its Seventh Technical User Community (TUC) meeting. This will be a two-day event at IBM Thomas J. Watson Research Center, Yorktown Heights, New York on Monday 9th and 10th of November.
During the second day of the sixth TUC meeting, Boris Motik from University of Oxford presented his talk “Parallel and incremental materialisation of RDF/DATALOG in RDFox”. Like the slides of the other TUC meeting talks, this presentation is available on the LDBC Slideshare profile.
During last TUC Meeting in Barcelona we were glad to welcome Smrati Gupta from CA technologies, a leading company that creates systems software that runs in mainframe, distributed computing, virtual machine and cloud computing environments.
Andreas Both from Unister presented another great talk on the second day of the 6th LDBC Technical User Community (TUC) meeting held in Barcelona. His talk “E-Commerce and Graph-driven Applications: Experiences and Optimizations while moving to Linked Data” revolved around an e-commerce use case.
Moritz Kaufmann from the Technische Universität München (TUM) participated during the last LDBC TUC Meeting in Barcelona with his presentation "LDBC SNB Benchmark Auditing".
During the 6th TUC Meeting in Barcelona we were glad to welcome Arnau Prat from Universitat Politècnica de Catalunya (Barcelonatech) and Sparsity Technologies with the presentation "LDBC Social Network Benchmark Interactive Workload”.
During the second day of the 6th LDBC TUC meeting held in Barcelona we welcomed John Snelson from MarkLogic with his presentation “MarkLogic Overview and Use Cases”.
The number of datasets published in the Web of Data as part of the Linked Data Cloud is constantly increasing. The Linked Data paradigm is based on the unconstrained publication of information by different publishers, and the interlinking of web resources through “same-as” links which specify that two URIs correspond to the same real world object. In the vast number of data sources participating in the Linked Data Cloud, this information is not explicitly stated but is discovered using instance matching techniques and tools.
On the second day of the 6th LDBC TUC Meeting that took place in Barcelona we welcomed Yinglong Xia from IBM Research with his presentation “Recent Updates on IBM System G – GraphBIG and Temporal Data”.