Sixth TUC Meeting: MarkLogic Overview and Use Cases by John Snelson (markLogic)
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”.
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.
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.
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.
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.
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 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 proposed by BBC that define numerous properties for content; they contain asll RDFS schema constructs and certain OWL ones.