EKGViewExplorer: Uma Ferramenta para Exploração dos Dados e Metadados da Visão Semântica em Enterprise Knowledge Graphs
Resumo
The semantic view of an Enterprise Knowledge Graph (EKG) offers a semantically coherent, integrated perspective over an organization’s heterogeneous data sources. This paper presents EKGViewExplorer, an interactive graphical tool that allows users to navigate both the data and metadata in EKGs built with the DDP SV, a data design pattern that logically organizes semantic view data and metadata into a four-level hierarchy, enabling scalable maintenance and context-aware exploration. At the heart of this architecture lies the metadata graph, encoded with the VoSV vocabulary, which captures detailed, machine-readable information about structure, provenance, and quality of semantic view. By coupling intuitive exploration capabilities with comprehensive metadata capture, EKGViewExplorer empowers data stewards and domain experts to understand, validate, and evolve enterprise semantic views more effectively.
Palavras-chave:
Enterprise Knowledge Graph, Visão Semântica, Exploração de Grafos, Ferramenta Gráfica
Referências
Avila, C. and Vidal, V. (2023). Lirb: Um navegador leve baseado em texto para knowledge graphs rdf. In Anais Estendidos do XXXVIII Simpósio Brasileiro de Bancos de Dados, pages 102–107, Porto Alegre, RS, Brasil. SBC.
Galkin, M., Auer, S., Vidal, M.-E., and Scerri, S. (2017). Enterprise knowledge graphs: A semantic approach for knowledge management in the next generation of enterprise information systems. In International Conference on Enterprise Information Systems, volume 2, pages 88–98. SCITEPRESS.
Hirsch, C., Hosking, J., and Grundy, J. (2009). Interactive visualization tools for exploring the semantic graph of large knowledge spaces.
Liebig, T., Opitz, M., Vialard, V., and Wenzel, M. (2023). Scalable no-code knowledge graph exploration and querying with semspect. In SEMANTiCS (Posters & Demos).
Lissandrini, M., Mottin, D., Hose, K., and Pedersen, T. B. (2022). Knowledge graph exploration systems: Are we lost? In Annual Conference on Innovative Data Systems Research.
Vidal, V., Freitas, R., Arruda, N., Casanova, M. A., and Renso, C. (2024). A data design pattern for building and exploring semantic views of enterprise knowledge graphs. In Anais do XXXIX Simpósio Brasileiro de Bancos de Dados, pages 1–13, Porto Alegre, RS, Brasil. SBC.
Galkin, M., Auer, S., Vidal, M.-E., and Scerri, S. (2017). Enterprise knowledge graphs: A semantic approach for knowledge management in the next generation of enterprise information systems. In International Conference on Enterprise Information Systems, volume 2, pages 88–98. SCITEPRESS.
Hirsch, C., Hosking, J., and Grundy, J. (2009). Interactive visualization tools for exploring the semantic graph of large knowledge spaces.
Liebig, T., Opitz, M., Vialard, V., and Wenzel, M. (2023). Scalable no-code knowledge graph exploration and querying with semspect. In SEMANTiCS (Posters & Demos).
Lissandrini, M., Mottin, D., Hose, K., and Pedersen, T. B. (2022). Knowledge graph exploration systems: Are we lost? In Annual Conference on Innovative Data Systems Research.
Vidal, V., Freitas, R., Arruda, N., Casanova, M. A., and Renso, C. (2024). A data design pattern for building and exploring semantic views of enterprise knowledge graphs. In Anais do XXXIX Simpósio Brasileiro de Bancos de Dados, pages 1–13, Porto Alegre, RS, Brasil. SBC.
Publicado
29/09/2025
Como Citar
FREITAS, José Renato S.; VIDAL, Vânia P.; ROLIM, Tulio V.; ARRUDA, Narciso.
EKGViewExplorer: Uma Ferramenta para Exploração dos Dados e Metadados da Visão Semântica em Enterprise Knowledge Graphs. In: DEMONSTRAÇÕES E APLICAÇÕES - SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 40. , 2025, Fortaleza/CE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 130-135.
DOI: https://doi.org/10.5753/sbbd_estendido.2025.247682.
