SNB Driver - Part 2: Tracking Dependencies Between Queries

  • Posted on: 13 January 2015
  • By: Alex Averbuch

The SNB Driver part 1 post introduced, broadly, the challenges faced when developing a workload driver for the LDBC SNB benchmark. In this blog we'll drill down deeper into the details of what it means to execute "dependent queries" during benchmark execution, and how this is handled in the driver. First of all, as many driver-specific terms will be used, below is a listing of their definitions. There is no need to read them in detail, it is just there to serve as a point of reference.

Definitions

 

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Semantic Publishing Instance Matching Benchmark

  • Posted on: 29 December 2014
  • By: Irini Fundulaki

The Semantic Publishing Instance Matching Benchmark (SPIMBench) is a novel benchmark for the assessment of instance matching techniques for RDF data with an associated schema. SPIMBench extends the state-of-the art instance matching benchmarks for RDF data in three main aspects: it allows for systematic scalability testing, supports a wider range of test cases including semantics-aware ones, and provides an enriched gold standard.

Further Developments in SNB BI Workload

  • Posted on: 18 December 2014
  • By: Orri Erling

We are presently working on the SNB BI workload. Andrey Gubichev of TU Munchen and myself are going through the queries and are playing with two SQL based implementations, one on Virtuoso and the other on Hyper.

As discussed before, the BI workload has the same choke points as TPC-H as a base but pushes further in terms of graphiness and query complexity.

Sizing AWS instances for the Semantic Publishing Benchmark

  • Posted on: 12 December 2014
  • By: Iliya Enchev. V...

LDBC’s Semantic Publishing Benchmark (SPB) measures the performance of an RDF database in a load typical for metadata-based content publishing, such as the famous BBC Dynamic Semantic Publishing scenario. Such load combines tens of updates per second (e.g.

DATAGEN – A realistic social network data generator

  • Posted on: 4 December 2014
  • By: Duc Pham

In previous posts (Getting started with SNB, DATAGEN: data generation for the Social Network Benchmark), Arnau Prat discussed the main features and characteristics of DATAGEN: realism, scalability, determinism, usability. DATAGEN is the social network data generator used by the three LDBC-SNB workloads, which produces data simulating the activity in a social network site duri

Making Semantic Publishing Execution Rules

  • Posted on: 18 November 2014
  • By: Orri Erling

LDBC SPB (Semantic Publishing Benchmark) is based on the BBC linked data platform use case. Thus the data modelling and transaction mix reflects the BBC's actual utilization of RDF. But a benchmark is not only a condensation of current best practices. The BBC linked data platform is an Ontotext Graph DB deployment. Graph DB was formerly known as Owlim.

On the upcoming, 5th LDBC TUC meeting and the previous, 4th LDBC TUC meeting

  • Posted on: 23 October 2014
  • By: Ioan Toma

The 5th LDBC TUC meeting will take place in Athens on 14.11.2014, this is the agenda. We welcome RDF and graph database users to explain their use-cases, describe the limitations they have found in current technology and see the progress of the LDBC benchmarks i.e. the Semantic Publishing Benchmark (SPB) and the Social Network Benchmark (SNB).

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