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A unified storage method for rdf graph and attribute graph based on relational model

A technology of relationship 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 and interoperability

Active Publication Date: 2021-08-31
TIANJIN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

The disadvantage of this scheme is that the cost of subgraph matching is too high, and graph homomorphism is NP complete

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  • A unified storage method for rdf graph and attribute graph based on relational model
  • A unified storage method for rdf graph and attribute graph based on relational model
  • A unified storage method for rdf graph and attribute graph based on relational model

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the following embodiments in no way limit the present invention.

[0044] Such as figure 1 As shown, the design idea of ​​the RDF graph and attribute graph unified storage method based on the relational model in the present invention is to analyze the structure and semantics of the mainstream data model of the knowledge graph—the RDF model and the attribute graph model, and use the relational model to store them. To express semantic information, design a unified storage model for knowledge graphs based on relational models, import and store knowledge graphs based on open source databases, test storage space and storage time, and perform simple update query operations to verify the effectiveness of knowledge graph storage solutions.

[0045] Such as figure 2 As shown, a kind of RDF graph and attribute graph unified storage method based on re...

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Abstract

The invention discloses a unified storage method for RDF graphs and attribute graphs based on relational models. According to the definitions and characteristics of the two data models of knowledge graphs, the RDF graph model and the attribute graph model, and the storage concept of the relational table, the RDF graph and attribute graphs are stored The two logical models of graphs are stored in the underlying physical model of relational tables, including the underlying storage of RDF graphs and the underlying storage of attribute graphs. That is, all semantic information of RDF graph and property graph is stored in the form of relational table at the bottom layer. For the RDF three-hypergraph structure, a system table is maintained to realize the double storage of edge points of certain edges in the RDF graph. The invention can solve the problem of the difference in semantic expression ability between RDF graph and attribute graph, realize large-scale knowledge map data storage and management, effectively reduce data redundancy, realize efficient query, and have strong application value .

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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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/901G06F16/903
CPCG06F16/9024G06F16/90335
Inventor 王鑫柳鹏凯张然郭谢帆
Owner TIANJIN UNIV