Benchmarking. The scalability of the DeKaloG store is a key issue for the success of DeKaloG. We need to design a benchmark for DeKaloG simulating an accessible KG, i.e. mixing intensive queries from clients and update queries issued by the KG provider. Update queries can correspond to data ingestion by crawling or by ingesting a KG. It can also correspond to KG refinement activities, looking for errors in the KG or fixing of them.