Title: Information accuracy verification system of invoice metadata based on data warehouse

Authors: Hui Chen; Yuening Wang; Weilin Xue

Addresses: Planning and Finance Department, Yunnan Power Grid Co., Ltd., Kunming 650000, Yunnan, China ' Financial Sharing Service Centers, Yunnan Power Grid Co., Ltd., Kunming 650000, Yunnan, China ' Financial Shared Service Centers, Yunnan Power Grid Co., Ltd., Qujing Power Supply Bureau, Qujing 655000, Yunnan, China

Abstract: This paper aims to explore the information accuracy verification system based on the invoice metadata of the data warehouse. Metadata defines the role of the data warehouse and specifies the content and location of the data warehouse, and describes the data extraction and transformation rules. The application of neural network in data warehouse was discussed. Finally, based on this research, it analysed the management and application of electronic invoice metadata. The experimental results of this paper showed that to accelerate the popularisation of electronic invoices and vigorously promote electronic invoices is an inevitable choice for developing the economy and deepening tax reform. When processing electronic invoice filing, it is necessary to realise the automatic entry of core metadata in the electronic document management system, so that it has the function of core metadata and gives full play to its due role.

Keywords: electronic invoice; data warehouse; BP neural network; invoice metadata; artificial neural network.

DOI: 10.1504/IJBIDM.2024.139451

International Journal of Business Intelligence and Data Mining, 2024 Vol.25 No.1, pp.34 - 51

Received: 19 Sep 2022
Accepted: 05 Jan 2023
Published online: 02 Jul 2024 *

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