Machine Learning Meets the Semantic Web

Konstantinos Ilias Kotis, Konstantina Zachila, Evaggelos Paparidis
2021 Artificial Intelligence Advances  
Remarkable progress in research has shown the efficiency of Knowledge Graphs (KGs) in extracting valuable external knowledge in various domains. A Knowledge Graph (KG) can illustrate high-order relations that connect two objects with one or multiple related attributes. The emerging Graph Neural Networks (GNN) can extract both object characteristics and relations from KGs. This paper presents how Machine Learning (ML) meets the Semantic Web and how KGs are related to Neural Networks and Deep
more » ... ning. The paper also highlights important aspects of this area of research, discussing open issues such as the bias hidden in KGs at different levels of graph representation.
doi:10.30564/aia.v3i1.3178 fatcat:vq47pxxmkja2blzz4gaterau7q