Contextualized knowledge graphs in communication network and cyber-physical system modeling
ORCID : 0000-0003-3368-2215
Provenance in data science: From data models to context-aware knowledge graphs
School of Science / ECU Security Research Institute
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.