Recommendation systems are a critical application of artificial intelligence (AI), driving
personalized user experiences across various platforms. Recent advancements in …

The objective of the cross-lingual entity alignment (EA) task is to identify equivalent entities
in knowledge graphs (KGs) across different languages. Most existing works rely on relation …

Abstract Knowledge graph (KG) noise correction aims to select suitable candidates to
correct the noises in KGs. Most of the existing studies have limited performance in repairing …

Objectives: Entity alignment (EA) seeks to identify similar real-world objects in different
multilingual knowledge graphs (KGs), also known as ontology alignment. EA assists in …

Owing to the heterogeneity and incomplete information present in various domain
knowledge graphs, the alignment of distinct source entities that represent an identical real …

This summary refers to a full research article. The article presents a Systematic Literature
Review (SLR) that aims to characterize the use of conversational agents (CHATBOTS) in the …

Abstract Knowledge graph completion (KGC) aims to fill in missing entities and relations
within knowledge graphs (KGs) to address their incompleteness. Most existing KGC models …

Graph convolutional network-based methods have become mainstream for cross-language
entity alignment. The graph convolutional network has multi-order characteristics that not …

This study explores the intriguing harmony between human language processing and
artificial intelligence (AI). We delve into the intricate process of translating mental concepts …

Wikidata adalah sebuah knowldege graph (KG) yang mengalami perkembangan sangat
pesat. Hal ini disebabkan oleh dua hal. Pertama, data pada Wikidata dapat diakses dan …