RDF graph and attribute graph unified storage method based on relation model

A technology of relational model and attribute graph, applied in the field of knowledge graph, can solve the problem of high cost of subgraph matching, and achieve the effect of management, query and interoperability.
CN110543585AActive Publication Date: 2019-12-06TIANJIN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
TIANJIN UNIV
Publication Date
2019-12-06

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Abstract

The invention discloses an RDF graph and attribute graph unified storage method based on a relation model. According to definitions and characteristics of an RDF graph model and an attribute graph model of two data models of a knowledge graph and a storage concept of a relation table, two logic models of an RDF graph and an attribute graph are stored in a physical model of the relation table at abottom layer, including bottom-layer storage of the RDF graph and bottom-layer storage of the attribute graph. The method comprises the steps of storing all semantic information of an RDF graph and anattribute graph in a bottom layer in the form of a relation table, and maintaining a system table for an RDF three-super graph structure to realize edge point double-copy storage for managing certainedges in the RDF graph. According to the method, the problem of difference of semantic expression capacities of the RDF graph and the attribute graph can be solved, large-scale knowledge graph data storage and management are achieved, data redundancy is effectively reduced, efficient query is achieved, and the method has high application value.
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Description

technical field

[0001] The invention relates to the field of knowledge graphs, RDF storage and attribute graph storage. Background technique

[0002] As the latest achievement in the development of symbolism, knowledge graph is an important cornerstone of artificial intelligence. The construction and release of large-scale knowledge graphs in various fields pose new challenges to the data management of knowledge graphs. The knowledge graph data model is based on the graph structure, using vertices to represent entities and edges to represent the relationship between entities. This general data representation can naturally describe the extensive connections between things in the real world.

[0003] Currently, there are two mainstream data models for knowledge graphs, namely RDF (Resource Description Framework, resource description framework) model and attribute graph model. The former has been standardized by W3C (World Wide Web Consortium), and the latter has been widely ...

Claims

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