Basic Similarity (4) Internal structure-based approach
Similarity estimation of natural language for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications based on data types and domain elements.
Angel Balls and The Red Ballot
Angell Ball:A fictional baseball novel set in the Hiroshima Toyo Carp.
Scientific Thinking (2)Inference patterns for hypothesis testing
Reasoning methods for hypothesis testing, deduction and four non-deductive reasoning methods (induction, projection, analogy, abduction) and the role and use of each reasoning method
Basic Similarity(3) A language-based approach
Linguistic approaches to natural language similarity assessment that can be used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML), including multilingual support.
Basic Similarity (2) String-based approach
Summary of various methods for structuring raw text as a basis for natural language processing for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications, normalization techniques, substring handling, edit distance, token-based
Distance and path comparison
Basic Similarity (1) Overview
Definition and overview of natural language similarity, which is important when applying digital transformation (DX), artificial intelligence (AI), and machine learning (ML), based on ontology matching
Ontologies and AI techniques for data integration and decision making in product design
Product design and data integration using ontology for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications
On failure risk analysis and ontology (FEMA, HAZID)
Risk/fault analysis and ontologies using ontologies, FMEA and HAZID for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) applications
Smart Buildings and IFC and BIM and Smart Cities and Ontology/AI
Applying Ontologies to Smart Buildings and Industry Foundation Classes (IFC) for Digital Transformation (DX), Machine Learning (ML) and Artificial Intelligence (AI)
Integration of Plant Engineering Ontology ISO15926 with AI Technology
Large-scale ontology for plant operation and construction ISO15926