Scholar-Course Knowledge Graph Construction Based on Graph Database Storage

Knowledge graph is an effective way to model and represent complex linked data, which have attracted broad research in recent years and have been applied in different fields. Considering the data characteristics and development needs of course platform in SCHOLAT, Scholar-Course Knowledge Graph (SCKG) is built with scholars and courses as the core concept and integrated it into the next version of our course platform. The ontology structure of SCKG is constructed first and then extracted knowledge from different data sources by employing D2R technology, web crawlers, etc. so as to add them to SCKG. There are 110,856 entities and 1,674,961 pairs of relationships in total after the construction of SCKG. 13 b-tree indexes and 3 full-text indexes are created on some key properties to speed up the query and we also defined some constraints on SCKG to ensure data consistency.