spb

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 …

Until now we have discussed several aspects of the Semantic Publishing Benchmark (SPB) such as the difference in performance between virtual and real servers configuration, how to choose an appropriate query mix for a benchmark run and our experience with using SPB in the development process of GraphDB for finding performance issues.

In this post we provide a step-by-step guide on how to run SPB using the Sesame RDF data store on a fresh install …

Sizing AWS Instances for the Semantic Publishing Benchmark

Tags:
SPB , AMAZON , EC2 , AWS , RDF

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 well-known BBC Dynamic Semantic Publishing scenario. Such load combines tens of updates per second (e.g. adding metadata about new articles) with even higher volume of read requests (SPARQL queries collecting recent content and data to generate web page on a specific subject, e.g. Frank …

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.

So, in SPB we wanted to address substantially more complex queries than the lookups that …

The Semantic Publishing Benchmark (SPB), developed in the context of LDBC, aims at measuring the read and write operations that can be performed in the context of a media organisation. It simulates the management and consumption of RDF metadata describing media assets and creative works. The scenario is based around a media organisation that maintains RDF descriptions of its catalogue of creative works. These descriptions use a set of ontologies …

During the past six months we (the OWLIM Team at Ontotext) have integrated the LDBC Semantic Publishing Benchmark (LDBC-SPB) as a part of our development and release process.

First thing we’ve started using the LDBC-SPB for is to monitor the performance of our RDF Store when a new release is about to come out.

Initially we’ve decided to fix some of the benchmark parameters :

  • the dataset size - 50 million triples (LDBC-SPB50) * benchmark warmup …