RDF Date Storage Scheme Based on Graph Database


연구 분야: Databases



학회: 2023 12th International Conference of Information and Communication Technology (ICTech)


초록

The structure can be directly mapped to the RDF model, and RDF data can be stored in the graph database. There is no need to rebuild the RDF graph to query the semantic information data of RDF. Based on the RDF data storage Scheme of graph database, the research status of RDF data storage and the transformation of SPARQL query language into Cypher graph query language are discussed emphatically. It is verified by experiments that the Neo4j graph database can further improve the query efficiency while satisfying the query of RDF graph data.


Author Profile
LiuLong Fang

College of Computer Science and Technology Shenyang University of Chemical Technology Shenyang China

Andorra
Author Profile
ChuLan Ren

College of Computer Science and Technology Shenyang University of Chemical Technology Shenyang China

Andorra

📄 논문 정보

발행 연도 2023년
인용수 98
출판 국가 Andorra
사이트 IEEE
좋아요 수 0

연관 논문 목록 (373건)