
A knowledge graph also referred to as a semantic network represents real-world networks of objects, situations, events, or concepts, and shows their relationships in relation to each other. Graph databases store this information and display it as graph structures, thus establishing the term "knowledge graph." The use of knowledge graphs has shown promise for several cybersecurity tasks, such as vulnerability assessment and threat analysis. This repository contains the source code of the cyberKG. This is an autonomously vulnerability knowledge graph based on the Labelled Property Graphs (LPGs). It was constructed using heterogeneous data sources.
Graph analytics algorithm, Natural language processing, knowledge discovery, knowledge engineering
Graph analytics algorithm, Natural language processing, knowledge discovery, knowledge engineering
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
