A study on storage schema of large scale ontology based on relational database;

With the exponential increasing accumulation of data on the Web,it has been very difficult for the existing storage schemas to satisfy the demand of storing large-scale RDF data efficiently.

Under current ontology storage schema,some problems such as difficult maintenance,low query and inference speed may appear after OWL ontology storing in relational database.

To suit the networking trend of machine design and manufacture, a new method of using XML-based storage model and of data query based on XPath is presented against the problem in data maintenance and interchange of the traditional storage method of the mechanical datasheet.

Focused on the problems of object migration for object-oriented XML data,two approaches based on distributed and centralized storage model are put forward,each of which resolves the OID ambiguity problem.

The paper analyzes three kinds of frequently-used storage models namely DAS,NAS and SAN,compares their similarities and differences.

Aiming at the security and stability problems in distribute storage,a new distributed storage solution called RayStorage system was presented,and the main notion about "Distributed Visual Storage Architecture"(DVSA) which is the kernel of the ReyStorage System was discussed,and the basic concepts of storage pattern and the results of their efficiency analysis was given out.

Based on introducing some storage policies and routing policies,this paper discusses the relationship be- tween ABC class-based storage pattern and routing policy in low level picker-to-part system,concluding that within - ailse storage with traversal policy,cross -ailse storage with return policy and perimeter storage with midpoint policy can im- prove order picking efficiency.

How to organize spatial data effectively and design an excellent storage pattern are two fundamental problems in 3D urban geological spatial database.