Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 549-554.

• Interdiscipline & Application • Previous Articles     Next Articles

Research on Ontology Data Storage of Massive Oil Field Based on Neo4j

GONG Fa-ming,LI Xiao-ran   

  1. College of Computer & Communication Engineering,China University of Petroleum,Qingdao,Shandong 266580,China
  • Online:2018-06-20 Published:2018-08-03

Abstract: The development of semantic web technology has promoted the development of integrated technology between multidisciplinary ontology in the oil field.As the scale of data increases,the traditional data storage and information retrieval based on relational database have encountered a lot of problems.In view of this problem,this paper proposed a domain ontology construction process based on Neo4j database to improve data storage and information retrie-val.Firstly,this paper proposed a solution of large-scale ontology data storage problem based on Neo4j graphics database.By designing a distributed storage mechanism based on Neo4j storage model,the efficient use of storage space was realized .Secondly,based on the Neo4j data model,this paper designed a two-tier index architecture retrieval algorithm.In the light of experimental evaluation,compared with the method based on the relational database,the method proposed in this paper can save more than 10% storage space,and improve the search efficiency by more than 30 times.

Key words: Big data storage, Moving object judgment, Neo4j database, Ontology in oil field, RDF data

CLC Number: 

  • TP391
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