A Conceptual Framework for Building and Exploring Semantic Views of Enterprise Knowledge Graphs
DOI:
https://doi.org/10.5753/jidm.2026.5971Keywords:
Data Integration, Semantic View, Data Design Pattern, Enterprise Knowledge Graph, knowledge Graph explorationAbstract
An Enterprise Knowledge Graph (EKG) provides a powerful foundation for knowledge management, data integration, and analytics within organizations. It achieves this by offering a semantic view that semantically integrates diverse data sources from the organization’s data lake. This paper introduces a novel Data Design Pattern for constructing semantic views, referred to as DDPSV, specifically designed to support the creation of semantic views within an EKG. The proposed DDPSV organizes both data and metadata into four hierarchical layers, providing a standardized structure that facilitates the development, maintenance, and reuse of semantic views across different contexts. Building upon this foundation, a second key contribution is a novel incremental methodology for constructing the semantic view of an EKG, grounded in the proposed data design pattern . This methodology adopts a “pay-as-you-go” data integration strategy, allowing organizations to progressively build, refine, and evolve their knowledge graphs while ensuring semantic consistency, scalability, and adaptability throughout the integration process. In addition, the paper presents an interactive graphical interface designed to support context-sensitive navigation of the semantic view. This tool enhances user interaction by enabling intuitive exploration and deeper utilization of resources within the EKG
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