The Linked Data Benchmark Council (LDBC) is an EU project that aims to develop industry-strength benchmarks for graph and RDF data management systems. LDBC introduces a so-called "choke-point" based benchmark development, through which experts identify key technical challenges, and introduce them in the benchmark workload, which we describe in some detail. We also present the status of two LDBC benchmarks currently in development, one targeting graph data management systems using a social network data case, and the other targeting RDF systems using a data publishing case
Knowledge bases often utilize graphs as logical model. RDF-based knowledge bases (KB) are prime exam...
In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis pl...
Knowledge bases often utilize graphs as logical model. RDF-based knowledge bases (KB) are prime exam...
textabstractThe Linked Data Benchmark Council (LDBC) is an EU project that aims to develop industry-...
The Linked Data Benchmark Council (LDBC) is an EU project that aims to develop industry-strength ben...
With inherent support for storing and analysing highly interconnected data, graph and RDF databases...
The Linked Data Benchmark Council (LDBC) is now two years underway and has gathered strong industria...
Graph data management is instrumental for several use cases such as recommendation, root cause anal...
Graph data management is instrumental for several use cases such as recommendation, root cause analy...
The Linked Data Benchmark Council (LDBC) is now two years underway and has gathered strong industria...
Our goal in the LDBC project is to provide a set of open, fair, and vendor-neutral benchmarks for RD...
In this short paper, we provide an early look at the LDBC Social Network Benchmark's Business Intell...
The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to tes...
In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis pl...
Benchmarking is a process that informs the public about the capabilities of systems-under-test, focu...
Knowledge bases often utilize graphs as logical model. RDF-based knowledge bases (KB) are prime exam...
In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis pl...
Knowledge bases often utilize graphs as logical model. RDF-based knowledge bases (KB) are prime exam...
textabstractThe Linked Data Benchmark Council (LDBC) is an EU project that aims to develop industry-...
The Linked Data Benchmark Council (LDBC) is an EU project that aims to develop industry-strength ben...
With inherent support for storing and analysing highly interconnected data, graph and RDF databases...
The Linked Data Benchmark Council (LDBC) is now two years underway and has gathered strong industria...
Graph data management is instrumental for several use cases such as recommendation, root cause anal...
Graph data management is instrumental for several use cases such as recommendation, root cause analy...
The Linked Data Benchmark Council (LDBC) is now two years underway and has gathered strong industria...
Our goal in the LDBC project is to provide a set of open, fair, and vendor-neutral benchmarks for RD...
In this short paper, we provide an early look at the LDBC Social Network Benchmark's Business Intell...
The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to tes...
In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis pl...
Benchmarking is a process that informs the public about the capabilities of systems-under-test, focu...
Knowledge bases often utilize graphs as logical model. RDF-based knowledge bases (KB) are prime exam...
In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis pl...
Knowledge bases often utilize graphs as logical model. RDF-based knowledge bases (KB) are prime exam...