人工知能:Artificial Intelligence

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

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

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

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

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

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

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

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

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

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