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
セマンテックウェブ技術:Semantic web Technology Apply ontology and AI techniques to enterprise data It uses ontologies to model the activities of companies that are used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) from various angles. The methodologies include interaction model, process model, action model, state model, and interestriction model. 2021.06.30 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 Examples of applications combining ontology utilization and AI technology in the manufacturing industry Overview of physical asset ontology modeling that can be used in the manufacturing industry for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications, ISO 15926, fault diagnosis, risk diagnosis, decision making systems, plant equipment diagnosis, and product management systems. 2021.06.29 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 Linked enterprise data An overview of the application of Semantic Web technology to enterprise data (in German), an overview of Semantic Web technology for handling enterprise data as linked data, and practical applications such as automotive ontology (mainly for sales at DaimlerChrysler), Semantic Media Wiki, library information, and multimedia. Semantic Media Wiki, application to library information, application to multimedia, etc. are described. 2021.06.28 セマンテックウェブ技術:Semantic web Technology
スポーツ:Sports History of Mt. Fuji Climbing and Mountain Climbing Race Introduction to the Fuji Mountain Climbing Race, the oldest mountain marathon in Japan, and about the Talaumara people of Bonthran. 2021.06.27 スポーツ:Sports
課題解決:Problem solving Scientific Thinking (1) What is science? The elements necessary for scientific thinking. What is science, theories/hypotheses and predictions, and who explains them. 2021.06.26 課題解決:Problem solving
アルゴリズム:Algorithms Explainable Machine Learning In the first half of Molnar's paper on Explainable Artificial Intelligence, he outlines that explanations can be intrinsic or post-hoc, and in the latter approach, an algorithm is used to construct an explanation from input-output pairs. A good explanation is one that can be compared with counterexamples. 2021.06.25 アルゴリズム:Algorithms機械学習:Machine Learning
セマンテックウェブ技術:Semantic web Technology Semantic Web Technology Handbook Overview of Semantic Web technologies that improve data interoperability used in Digital Transformation (DX), Artificial Intelligence (AI), Machine Learning (ML), RDF, SPARQL, Ontolgy and specific applications. 2021.06.24 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 RDF Store and SPARQL Overview and Action Semantic Web technologies used in digital transformation (DX), artificial intelligence (AI), and machine learning (ML), an overview of RDF stores and SPARQL, an introduction to RDF data stores and a simple explanation of SPARQL, and an actual database using BlazeGraph. Handling 2021.06.23 セマンテックウェブ技術:Semantic web Technologyデータベース技術:DataBase Technology