Wikipedia knowledge graph for explainable AI
Explainable artificial intelligence (XAI) requires domain information to explain a system's
decisions, for which structured forms of domain information like Knowledge Graphs (KGs) or
ontologies are best suited. As such, readily available KGs are important to accelerate
progress in XAI. To facilitate the advancement of XAI, we present the cycle-free Wikipedia
Knowledge Graph (WKG) based on information from English Wikipedia. Each Wikipedia
article title, its corresponding category, and the category hierarchy are transformed into …
decisions, for which structured forms of domain information like Knowledge Graphs (KGs) or
ontologies are best suited. As such, readily available KGs are important to accelerate
progress in XAI. To facilitate the advancement of XAI, we present the cycle-free Wikipedia
Knowledge Graph (WKG) based on information from English Wikipedia. Each Wikipedia
article title, its corresponding category, and the category hierarchy are transformed into …
Wikipedia Knowledge Graph for Explainable AI
Explainable artificial intelligence (XAI) requires domain information to explain a system's
decisions, for which structured forms of domain information like Knowledge Graphs (KGs) or
ontologies are best suited. As such, readily available KGs are important to accelerate
progress in XAI. To facilitate the advancement of XAI, we present the cycle-free Wikipedia
Knowledge Graph (WKG) based on information from English Wikipedia. Each Wikipedia
article title, its corresponding category, and the category hierarchy are transformed into …
decisions, for which structured forms of domain information like Knowledge Graphs (KGs) or
ontologies are best suited. As such, readily available KGs are important to accelerate
progress in XAI. To facilitate the advancement of XAI, we present the cycle-free Wikipedia
Knowledge Graph (WKG) based on information from English Wikipedia. Each Wikipedia
article title, its corresponding category, and the category hierarchy are transformed into …
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