Contextualized knowledge graphs in communication network and cyber-physical system modeling
Abstract
Interpreting cyber-knowledge is challenging due to the data heterogeneity issues typical to data aggregation from disparate data sources. This chapter demonstrates knowledge graph-based techniques to capture and reason over provenance for communication networks at different levels of granularity, thereby getting the best of both worlds, structured data representation and provenance-awareness, at the same time.
RAS ID
35852
Document Type
Book Chapter
Date of Publication
2020
School
School of Science / ECU Security Research Institute
Copyright
subscription content
Publisher
Springer
Comments
Sikos, L. F. (2020). Contextualized knowledge graphs in communication network and cyber-physical system modeling. In L. F. Sikos, O. W. Seneviratne, D. L. McGuinness (Eds.), Provenance in data science: From data models to context-aware knowledge graphs (pp. 47-58). Springer, Cham. https://doi.org/10.1007/978-3-030-67681-0_4