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
人工知能:Artificial Intelligence
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)
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.
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.
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.
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.
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.
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.
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
セマンテックウェブ技術:Semantic web Technology RDF Technology Overview
Overview of RDF used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML), data model and data structure (RDF/XML, N-Triple, Notation3, TTL, JASON-LD) and extension of RDF data to time axis (use of namespace, N-Triple) namespace, N-Triple)