2021-06

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
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)
2021.06.22
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

The Semantic Web for Ontology Engineers

Explanation and methods of RDF, OWL, RDFS, etc. for ontology creation
2021.06.21
セマンテックウェブ技術:Semantic web Technology
次のページ
タイトルとURLをコピーしました