Research on Financial Capability Analysis System of Petroleum Enterprises based on Knowledge Mapping

Authors

  • Hang Xiao
  • Ying Sun
  • Ke Liu

DOI:

https://doi.org/10.54691/g7a87192

Keywords:

Big Data; Knowledge Mapping; Financial Capability Analysis; Digitalization.

Abstract

With the arrival of the big data era, the financial capability analysis of oil enterprises faces new opportunities and challenges. However, at present, the financial analysis work of most oil enterprises still exists problems such as uneven data quality, backward analysis methods, poor logic and wholeness of financial data across businesses, etc., which makes it difficult to provide timely and efficient financial data support and decision-making support for the company's resource allocation and optimization. Financial capability knowledge mapping can not only improve the efficiency of enterprise financial data management and analysis, but also enhance the decision-making support capability and promote the digital transformation of enterprise finance. Therefore, this paper focuses on the current situation and problems of financial analysis of petroleum enterprises, proposes a framework for analyzing the financial capability of petroleum enterprises based on knowledge graph, and constructs a new type of financial knowledge graph using Neo4j graph database. Finally, it puts forward targeted suggestions from the aspects of improving data quality, deepening the integration of industry and finance, and strengthening data asset management.

Downloads

Download data is not yet available.

References

[1] Yan Yuyong. Financial capability analysis based on corporate social responsibility[J]. Productivity Research,2006,(06):268-270.

[2] HOGANA, BLOMQVISTE, COCHEZM, et al. Knowledge graphs[J].ACM computing surveys, 2022, 54(4):1.

[3] Tang liang, Luo Xuan, Wang Ying. Identification of differences between two types of knowledge graphs and their application in scientific and technical publishing[J]. Publishing Reference, 2019,(1): 66-68.

[4] Bo Zhang,Yinglei Ma,Jinyu Ma. Research on publishing application model based on semantic knowledge graph[J]. Publishing and Distribution Research,2025,(02):45-53.

[5] Cai Yong,Rao Ruijiu,Jia Yongchang,et al. Practice and Exploration of PetroChina's Application of Big Data Technology for Financial Supervision[J]. Finance and Accounting,2023,(07):40-43.

[6] Li Chang. Development and Challenges of Accounting Informatization in Petroleum Enterprises[J/OL]. Friends of Accounting,2023,(S1):209-211.

[7] Yu Jiayue. Research on Data Asset Management of Petroleum Enterprises[J]. Business Watch,2025, 11(02):54-57.

[8] Li Jianping,Sun Hao,Chang Yanpeng,et al. Financial fraud identification considering multiple semantic associations of audit elements[J]. Journal of Management Science,2024,27(03):58-70.

[9] Songsheng Chen,Ming Wang. Construction and Application Prospect of Accounting Knowledge Graph Based on Big Language Modeling[J]. Friends of Accounting,2025,(05):152-161.

[10] Yufang Xu. Construction and application of knowledge mapping in the field of financial auditing in colleges and universities[J]. Journal of Finance and Accounting,2022,(15):118-122.

Downloads

Published

31-07-2025

Issue

Section

Articles

How to Cite

Xiao, H., Sun, Y., & Liu, K. (2025). Research on Financial Capability Analysis System of Petroleum Enterprises based on Knowledge Mapping. Frontiers in Sustainable Development, 5(7), 92-103. https://doi.org/10.54691/g7a87192