Enterprise Knowledge Graphs: Revolutionizing System Dependencies
Year: 2025
Type: article
Abstract: This article delves into the transformative role of knowledge graphs in modernizing enterprise system dependency management, offering a marked improvement over conventional documentation strategies. It begins by highlighting inherent limitations of traditional dependency mapping techniques before establishing the conceptual underpinnings of ontology-driven architectural approaches. The article then explores practical implementation through graph database technologies with their distinctive node-edge representations. An in-depth examination of AWS's knowledge graph deployment for regional cloud management illustrates real-world applications in complex distributed environments. Key focus areas include semantic relationship modeling techniques, measurable deployment efficiency gains, and practical implementation hurdles. The final sections analyze operational improvements, identify emerging application patterns, consider integration pathways with artificial intelligence technologies, and outline unexplored territories for advancing knowledge graph capabilities within enterprise technology landscapes.
Author: Radhakant Sahu
Institution: Amazon (United States)
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7078299504
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