“…With the rapid increase in the number of RDF(S) on the Web, it has become increasingly important to efficiently store massive amounts of RDF(S). The storage of RDF(S) (Ma, Capretz and Yan, 2016) often supports efficient queries of RDF data, mainly because the storage structure of RDF(S) not only directly determines the integrity of storage semantics, but also greatly affects its query efficiency Ma, et al, 2018). At present, there have been many studies on RDF(S) storage methods, which can be roughly divided into the following three categories: 1) Memory-based storage (e.g., Sesame (Broekstra, et al, 2002) and BitMat (Atre, et al, 2008)).…”