Recent combinations of Semantic Technology and Artificial Intelligence presents new techniques to build intelligent systems. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of machine learning to extend the knowledge graphs by graph mapping or corpus-based ontology learning.
Inhaltsverzeichnis
1 Leveraging Semantic Knowledge Graphs in Educational Recommenders to Address the Cold-Start Problem
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, and John Shawe-Taylor
2 Modeling Event-Centric Knowledge Graph for Crime Analysis on Online News
Federica Rollo and Laura Po
3 Semantic Natural Language Processing for Knowledge Graphs Creation
Cameron De Sa, Edlira Vakaj, Hossein Ghomeshi, and Ryan McGranaghan
4 MSE**: Multi-Modal Semantic Embeddings for Datasets with Several Positive Matchings
Jeremie Huteau, Adrian Basarab, and Florence Dupin de Saint-Cyr
5 Text-Based Emergency Alert Framework for Under-Resourced Languages in Southern Nigeria
Patience U. Usip, Funebi F. Ijebu, Ifiok J. Udo, and Ikechukwu K. Ollawa
6 Knowledge Graphs in Healthcare
Sanna Aizad and Dr. Bilal Arshad
7 Explainable Machine Learning-Based Knowledge Graph for Modeling Location-Based Recreational Services from Users Profile
Daniel Ekpenyong Asuquo, Patience Usoro Usip, and Kingsley Friday Attai
8 Building Knowledge Graph from Relational Database
Bilal Ben Mahria, Ilham Chaker, and Azeddine Zahi
