Advancing Financial Operations: Leveraging Knowledge Graph for Innovation

© 2023 by IJCTT Journal
Volume-71 Issue-10
Year of Publication : 2023
Authors : Shyam Balagurumurthy Viswanathan, Gaurav Singh
DOI :  10.14445/22312803/IJCTT-V71I10P107

How to Cite?

Shyam Balagurumurthy Viswanathan, Gaurav Singh, "Advancing Financial Operations: Leveraging Knowledge Graph for Innovation," International Journal of Computer Trends and Technology, vol. 71, no. 10, pp. 51-60, 2023. Crossref,

Recently, there has been a growing interest in Knowledge Graphs (KG) due to their ability to systematically structure and categorize complex information. These graphical representations uniquely identify intricate patterns, reveal hidden insights, process enormous amounts of data with intuitive visualization, and accurately retain diverse information. One domain where KGs can be particularly valuable is the financial market, specifically the stock sector, which generates vast amounts of data across various platforms. This research paper outlines the methodologies for constructing a knowledge graph using graph databases and explores how it can enhance our understanding of financial paradigms. By doing so, this paper aims to improve the accuracy and depth of stock analyses, facilitate better decision-making processes, and detect anomalies such as intellectual property theft or insider trading within the realm of finance.

Knowledge graph, Financial operations, Cyber security, Trading, Intelligence.


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