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.
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.
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)
セマンテックウェブ技術:Semantic web Technology

The Semantic Web for Ontology Engineers

Explanation and methods of RDF, OWL, RDFS, etc. for ontology creation
セマンテックウェブ技術:Semantic web Technology

Ontology Technologies

Application of ontology technology to digital transformation (DX), artificial intelligence (AI), and machine learning (ML). Philosophical ontology, information engineering ontology, application to knowledge information and reasoning (expert systems), application to semantic web technology, application to requirements definition tools, application to enterprise information management.
セマンテックウェブ技術:Semantic web Technology

Semantic Web Technology Reference

A prescription for building enterprise systems using Semantic Web technologies for digital transformation (DX), artificial intelligence (AI), and machine learning (ML), including concepts, technology overview, steps for building systems, and future prospects.
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