Contextualized knowledge graphs in communication network and cyber-physical system modeling

Author Identifier

Leslie Sikos

ORCID : 0000-0003-3368-2215

Document Type

Book Chapter

Publication Title

Provenance in data science: From data models to context-aware knowledge graphs

Publisher

Springer

School

School of Science / ECU Security Research Institute

RAS ID

35852

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

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.

DOI

10.1007/978-3-030-67681-0_4

Access Rights

subscription content

Link to Full Text

Share

 
COinS
 

Link to publisher version (DOI)

10.1007/978-3-030-67681-0_4