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

Year: 2024

Type: conference-paper

Abstract: 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.

DOI: 10.5753/sbbd.2024.241024

Authors: Vânia M. P. Vidal, Renato Freitas, Narciso Arruda, Marco A. Casanova, Chiara Renso

Institutions: Universidade Federal do Ceará, Pontifícia Universidade Católica do Rio de Janeiro, National Academies of Sciences, Engineering, and Medicine, National Research Council

Language: English

Topic: Semantic Web and Ontologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4403824103

FWCI: 1.175

Cites: 11

Cited by: 4

Related to: 10