The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space

Graph data management is instrumental for several use cases such as recommendation, root cause analysis, financial fraud detection, and enterprise knowledge representation. Efficiently supporting these use cases yields a number of unique requirements, including the need for a concise query language and graph-aware query optimization techniques. The goal of the Linked Data Benchmark Council (LDBC) is to design a set of standard benchmarks that capture representative categories of graph data management problems, making the performance of systems comparable and facilitating competition among vendors. LDBC also conducts research on graph schemas and graph query languages. This paper introduces the LDBC organization and its work over the last decade

The LDBC Social Network Benchmark

The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to test various functionalities of systems used for graph-like data management. For this, LDBC SNB uses the recognizable scenario of operating a social network, characterized by its graph-shaped data. LDBC SNB consists of two workloads that focus on different functionalities: the Interactive workload (interactive transactional queries) and the Business Intelligence workload (analytical queries). This document contains the definition of the Interactive Workload and the first draft of the Business Intelligence Workload. This includes a detailed explanation of the data used in the LDBC SNB benchmark, a detailed description for all queries, and instructions on how to generate the data and run the benchmark with the provided software.Comment: For the repository containing the source code of this technical report, see https://github.com/ldbc/ldbc_snb_doc

Treatment of subclinical ketosis in dairy cattle with a product containing cianocobalamine and butafosfan (Catosal®)

SUMMARY Subclinical ketosis or hyperketonaemia of the dairy cow is a disease originating from the high milk yield and causing primarily economic loss. Measuring beta-hydroxybutyrate concentration in the blood at cow side provides sufficient amount of information about the incidence of the disease. Our study involved 444 animals in 5 Hungarian dairy farms. After diagnosing subclinical ketosis (BHB > 1 mmol/l) the animals were treated daily 20 ml of butafosfan/cianocobalamin (Catosal®) im. for 3 consecutive days. The non-treated group received no other treatment beside the treatment of the primary disease. BHB was measured at calving time (Days 0–3), and 10 and 18 days after calving. BHB decreased continuously along the measurement points in both groups. However, the average BHB level of the treated group decreased below the threshold level already on 10th day after calving. Comparing clinical diseases after calving, some selected production and reproductive diseases no significant differences were found, but the service period and culling rate after 200 DIM was better in the treated group. Based on these results better production could be reached using this vitamin combination. To classify the differences in the results more detailed examinations with larger number of animals are required