Data Storage in Solid Data Vaults
Vidyashree Tarikere, Ruben Taelman · Zenodo (CERN European Organization for Nuclear Research) · 2022
Extracting a subset or a derived set of data from a larger dataset requires a plan for how to do it efficiently. Creating a good plan, however, requires relevant beforehand knowledge about the data being processed. With traditional databases, sufficient information might be available and up-to-date, however with Linked Data that may not be the case, resulting in inefficient plans that later need to be adjusted. But how to detect when a plan is not efficient enough and needs to be adjusted, when can the plan be adjusted and how can it be adjusted? Has the problem been solved already, or is there something left to explore?