Title: An efficient retrieval of relational database information based on knowledge graph

Authors: Hongqin Zhu

Addresses: Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System, East China University of Technology, Nanchang 330013, Jiangxi, China; Department of Information Engineering, East China University of Technology, 418 Guanglan Avenue, Nanchang 330013, Jiangxi Province, China

Abstract: In order to optimise the effect of database information retrieval and overcome the problem of high index cost of traditional retrieval methods, an efficient retrieval design method of relational database based on knowledge graph is designed in this paper. Firstly, the distribution model of database information retrieval nodes is constructed to analyse the data structure, and the semantic characteristics of stored data of retrieval nodes are fused. Then the knowledge graph model analysis method is used to retrieve the database node attribute clustering and adaptive scheduling to realise the design of efficient information retrieval model for the database. The experimental results show that the index distance cost of this method is always below 5 × 1,010 byte, and the index distance cost is always below 40 s, which has certain application value.

Keywords: relational database; knowledge graph; indexing structure; semantic features; data graph; key words; information retrieval.

DOI: 10.1504/IJICT.2023.134249

International Journal of Information and Communication Technology, 2023 Vol.23 No.3, pp.201 - 214

Received: 10 Jun 2021
Accepted: 23 Jul 2021

Published online: 15 Oct 2023 *

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