2024
DOI: 10.1109/access.2024.3367971
|View full text |Cite
|
Sign up to set email alerts
|

A Network Analysis-Driven Framework for Factual Explainability of Knowledge Graphs

Siraj Munir,
Rauf Ahmed Shams Malick,
Stefano Ferretti

Abstract: Knowledge Graphs are widely used to represent knowledge structures in complex domains. In most real-world scenarios, these knowledge structures are dynamic. As a result, measures must be developed to assess the robustness and usability of Knowledge Graphs in temporal settings. Additionally, the explainability of inherent knowledge constituents is crucial for the desired attention of Knowledge Graphs, particularly in temporal settings. In this paper, we developed a framework to understand the robustness of fact… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
references
References 55 publications
(79 reference statements)
0
0
0
Order By: Relevance