Communication
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Using Knowledge Graphs for Enabling Collaborative Financial Market Data Analytical Processes
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Version 1
: Received: 24 July 2024 / Approved: 24 July 2024 / Online: 24 July 2024 (09:43:58 CEST)
How to cite: Oza, B.; Behnaz, A. Using Knowledge Graphs for Enabling Collaborative Financial Market Data Analytical Processes. Preprints 2024, 2024071921. https://doi.org/10.20944/preprints202407.1921.v1 Oza, B.; Behnaz, A. Using Knowledge Graphs for Enabling Collaborative Financial Market Data Analytical Processes. Preprints 2024, 2024071921. https://doi.org/10.20944/preprints202407.1921.v1
Abstract
Financial market data analysts are increasingly turning towards machine learning techniques for data analysis and making decisions. This paper explores how knowledge graphs, essentially a network of real entities and their relationships, can be used to improve collaborative financial market data analysis and make it more efficient and user friendly. This paper reviews the current state of financial market data analysis, the challenges in deploying machine learning models in industrial environments, and the concepts such as ML-Ops and knowledge graphs. A software architecture comprising various roles, layers and services such as Data Engineers, Data Analysts, public users, APIs, workflows, analytics libraries, UX layer, Business Layer, etc. is introduced and described in detail. Then, it discusses how knowledge graphs can be used to enhance collaborative financial market data analysis. Finally, a case study is presented to demonstrate the usage of the whole system, within the context of financial market data analytics of equities.
Keywords
Knowledge Graphs; Data Analysis; Financial Markets; Software Architecture
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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