On this website, you can find information on benchmark specifications and results, on how the LDBC organization works, the motivation for LDBC, and benchmarking resources for the graph and RDF developer community.
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LDBC brings industry and users together for developing benchmarks whereby the state-of-the-art and advances in graph database technologies can be assessed and directed. Read More to find out how the LDBC might help you.
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Here you may find the results for different benchmarks, i.e. the Social Network Benchmark (SNB) and the Semantic Publishing Benchmark (SPB), their definitions and best practices, the repositories where to find the data generators and the query implementations, an access to the intranet for the LDBC industry partners and a list of the LDBC member vendors.
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On these pages, we provide information on the LDBC organization and it members, inclusive information on how to become a member.
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The second presentation during last LDBC's 6th TUC Meeting that took place in Barcelona was called SPIMBENCH: A Scalable, Schema-Aware, Instance Matching Benchmark for the Semantic Publishing Domain and presented by Tzanina Saveta from FORTH.
Watch Tzanina Saveta presenting the benchmark for the Semantic Publishing domain.
In a previous 3-part blog series we touched upon the difficulties of executing the LDBC SNB Interactive (SNB) workload, while achieving good performance and scalability. What we didn't discuss is why these difficulties were unique to SNB, and what aspects of the way we perform workload execution are scientific contributions - novel solutions to previously unsolved problems. This post will highlight the differences between SNB and more traditional database benchmark workloads. Additionally, it will motivate why we chose to develop a new wo
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.
This will be the first TUC meeting after the finalisation of the LDBC FP7 EC funded project. The event structure will be very similar than the previous ones, and it will basically set the following aspects:
Last 19th and 20th of March took place the sixth edition of the Technical User Community Meeting held in Barcelona. During these two days LDBC hosted more than 15 presentations from key members of the industry and research regarding graphs and RDF that we are going to share as independent blog posts during the following weeks.
Watch the first presentation with Venelin Kotsev presenting the details of the evolution of the SPB.
As discussed in previous posts, one of the features that makes Datagen more realistic is the fact that the activity volume of the simulated Persons is not uniform, but forms spikes. In this blog entry I want to explain more in depth how this is actually implemented inside of the generator.
This blog entry is about one of the features of DATAGEN that makes it different from other synthetic graph generators that can be found in the literature: the community structure of the graph.
Why do leading media companies, like the BBC and publishers, from FT to DK and Elsevier, use triplestores?
The Linked Data paradigm has become the prominent enabler for sharing huge volumes of data using Semantic Web technologies, and has created novel challenges for non-relational data management systems, such as RDF and graph engines. Efficient data access through queries is perhaps the most important data management task, and is enabled through query optimization techniques, which amount to the discovery of optimal or close to optimal execution plans for a given query.
At SIGMOD 2015, the third international workshop on Graph Datamagement Experience and Systems (GRADES2015) will be organized.
See: http://event.cwi.nl/grades2015
GRADES since its inception has been one of the best attended workshops at SIGMOD, and papers published in it are getting noted.
LDBC is a co-sponsor of the GRADES workshops and is being led this year by Tedd Willke (Intel Corp.) and Josep Lluis Larriba Pey (LDBC coordinator).
The workshop will be held on Sunday May 31, in Melbourne, Australia.
When talking about DATAGEN and other graph generators with social network characteristics, our attention is typically borrowed by the friendship subgraph and/or its structure. However, a social graph is more than a bunch of people being connected by friendship relations, but has a lot more of other things is worth to look at. With a quick view to commercial social networks like Facebook, Twitter or Google+, one can easily identify a lot of other elements such as text images or even video assets. More importantly, all these elements form other subgraphs within the social network!
