Automatic generation of knowledge graphs and various implementation examples
Knowledge Graph
A knowledge graph is a graph structure that represents information as a set of related node...
オントロジー
Various uses and implementation examples of the Knowledge Graph
Knowledge Graph
A knowledge graph is a graph structure that represents information as a set of related n...
Structuralism and Behind the Structure Meta-Information and AI Technology
Structuralism and meta-information behind the structure
Structuralism is a theory of philosophy and social ...
Deep Graph Infomax overview and implementation examples
Deep Graph Infomax
Deep Graph Infomax (DGI) is an unsupervised learning method for graph data, which is an...
KBGAT (Knowledge-based GAT) overview and implementation examples
KBGAT (Knowledge-based GAT)
KBGAT (Knowledge-based Graph Attention Network) is a type of graph neural netw...
Overview of Self-Refine and related algorithms and implementation examples
Overview of Self Refine
"GPT-4 or higher? Self-Refine: Iterative Refinement with Self-Flavour", researchers ...
Ontology Based Data Access (ODBA), generative AI and GNNs
Ontology Based Data Access(ODBA)について
Ontology Based Data Access (OBDA) is a method that allows queries to b...
Bow tie analysis and ontology, AI technology
Bowtie Analysis
Bowtie analysis is a risk management technique that is used to organise risks in a visually und...
Risk management standard ISO 31000 and AI technology.
Overview of ISO 31000
ISO 31000 is an international standard for risk management, providing guidance and princi...
Ontology-based failure diagnosis systems, fleet case reuse and integration with AI technology
Fleet case, fault diagnosis system and ontology
Fleet Case is a system for companies that own multiple devic...