A Data Design Pattern for Building and Exploring Semantic Views of Enterprise Knowledge Graphs

• Vânia M. P. Vidal Universidade Federal do Ceará (UFC)
• Renato Freitas Universidade Federal do Ceará (UFC)
• Narciso Arruda Universidade Federal do Ceará (UFC)
• Marco A. Casanova Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio)
• Chiara Renso ISTI Institute of National Research Council https://orcid.org/0000-0002-1763-2966

DOI: https://doi.org/10.5753/sbbd.2024.241024

Resumo

An Enterprise Knowledge Graph (EKG) is a robust foundation for knowledge management, data integration, and advanced analytics across organizations. It achieves this by offering a semantic view that semantically integrates various data sources within an organization’s data lake. This paper introduces a novel data design pattern (DDP) aimed at constructing and managing the semantic view of an EKG. The proposed DDP logically organizes data into three hierarchical levels, facilitating the maintenance and the versatile exploration of the semantic view in various contexts. Furthermore, this paper details an interactive graphical interface developed to supports context-sensitive navigation of the semantic view, enhancing user interaction and resource utilization.

Palavras-chave: Knowledge Graphs, Semantic Views, Design Pattern

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