An Approach to Construct a Metadata Graph for Specifying Enterprise Knowledge Graphs

• Tulio Vidal Rolim Federal University of Ceará (UFC)
• Caio Viktor da Silva Avila Federal University of Ceará (UFC)
• Renato Freitas Federal University of Ceará (UFC)
• Roberval Gomes Mariano Federal University of Ceará (UFC)
• Vania Maria Ponte Vidal Federal University of Ceará (UFC)

DOI: https://doi.org/10.5753/sbbd.2024.243662

Abstract

Enterprise Knowledge Graph (EKG) is a concept that is increasingly being used to process large volumes of data at the organizational level, however most efforts are concentrated on building the Data EKG, disregarding the metadata related to the entire data integration process. At this juncture, this work presents an approach for building a metadata graph for specifying EKGs. As a form of validation, a case study with part of the metadata graph is adopted.

Keywords: Enterprise Knowledge Graph, Metadata, Metadata Graph, Semantic Integration, Vocabulary

References

Consortium, W. W. W. et al. (2014). Data catalog vocabulary (dcat).

da Silva Santos, L. O. B., Burger, K., Kaliyaperumal, R., and Wilkinson, M. D. (2023). Fair data point: a fair-oriented approach for metadata publication. Data Intelligence, 5(1):163–183.

Ehrlinger, L. and Wöß, W. (2016). Towards a definition of knowledge graphs. SEMANTiCS (Posters, Demos, SuCCESS), 48(1-4):2.

Halevy, A., Norvig, P., and Pereira, F. (2009). The unreasonable effectiveness of data. IEEE intelligent systems, 24(2):8–12.

Sequeda, J. F., Briggs, W. J., Miranker, D. P., and Heideman, W. P. (2019). A pay-as-you-go methodology to design and build enterprise knowledge graphs from relational databases. In The Semantic Web–ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part II 18, pages 526–545. Springer.

Vidal, V. M. et al. (2015). Specification and incremental maintenance of linked data mashup views. In CAiSE, pages 214–229. Springer.

W3C (2012). R2rml: Rdb to rdf mapping language.