推論技術:inference Technology 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. 2021.07.12 推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing
推論技術:inference Technology 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. 2021.07.09 推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning自然言語処理:Natural Language Processing
推論技術:inference Technology 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 2021.07.08 推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing
セマンテックウェブ技術:Semantic web Technology 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 2021.07.07 セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning自然言語処理:Natural Language Processing
セマンテックウェブ技術:Semantic web Technology 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 2021.07.06 セマンテックウェブ技術:Semantic web Technology
セマンテックウェブ技術:Semantic web Technology 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 2021.07.05 セマンテックウェブ技術:Semantic web Technology
セマンテックウェブ技術:Semantic web Technology 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) 2021.07.04 セマンテックウェブ技術:Semantic web Technology
セマンテックウェブ技術:Semantic web Technology Integration of Plant Engineering Ontology ISO15926 with AI Technology Large-scale ontology for plant operation and construction ISO15926 2021.07.03 セマンテックウェブ技術:Semantic web Technology
セマンテックウェブ技術:Semantic web Technology Ontology Matching Technology A comprehensive description of ontology matching methods essential for integrating heterogeneous information using digital transformation (DX), artificial intelligence (AI), and machine learning (ML) 2021.07.02 セマンテックウェブ技術:Semantic web Technology
セマンテックウェブ技術:Semantic web Technology Application of ontology and AI technology to the legal field Legal ontologies aimed at improving the interoperability of legal information for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications have been developed in the context of eGovernment, for example, to improve the interoperability of national legal procedures/documents in Europe. In the context of eGovernment, for example, specific systems have been developed to improve the interoperability of national legal procedures/documents in Europe. 2021.07.01 セマンテックウェブ技術:Semantic web Technology