Resumen
Cybersecurity is defined as “information technology security” and today managing all the elements involved in this domain is usually quite complex and immense. It is for this reason that companies keep actively looking for efficient and solid solutions in this matter. One of the solutions used by organizations to explore security between assets and possible attacks is Knowledge Graphs (KG). In this context, large amounts of data are generated, which can yield misinterpretations of the results (information) if the data meaning not well characterized and conceptualized. To facilitate an innovative solution to this problem based on KG, this work seeks to facilitate a characterization of the domain supported by the best practices of Conceptual Modeling (specifically in the branch of Ontologies). This paper focuses on conducting studies that allow us to expand our terminological approach, thus generating a large amount of data that allows us to provide a software solution (REST-API) for managing domain data (using NoSQL technologies). Thanks to this ontological analysis platform, the correct use in the development and implementation of KGs by stakeholders will be guaranteed.
Idioma original | Inglés |
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Estado | Publicada - 2021 |
Evento | 24th Ibero-American Conference on Software Engineering, CIbSE 2021 - San Jose, Virtual, Costa Rica Duración: 30 ago. 2021 → 3 sep. 2021 |
Conferencia
Conferencia | 24th Ibero-American Conference on Software Engineering, CIbSE 2021 |
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País/Territorio | Costa Rica |
Ciudad | San Jose, Virtual |
Período | 30/08/21 → 3/09/21 |
Nota bibliográfica
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