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


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. 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 …