推論技術:inference Technology

Strategies in similarity matching methods (5) Tuning approaches

Digital transformation (DX), similarity of natural language for artificial intelligence (AI), tuning by machine learning for ontology matching, stacked generalization, genetic algorithms

2021.08.22

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Strategies in similarity matching methods (4) Learning to sort alignments

Digital transformation (DX), simirality of natural language for artificial intelligence (AI) applications, sorting alignment by machine learning for ontology matching, SVM, decision trees, WHIRL, neural nets, naive Bayes

2021.08.21

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Strategies in similarity matching methods (3) Weighted selection approach

Natural language similarity for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications. Similarity evaluation, matching strategies, and weighting strategies for ontologies using relational pattern matching.

2021.08.20

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Strategies in similarity matching methods (1) Overview

Natural language similarity for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications. Similarity evaluation of ontologies by relational pattern matching, matching strategies.

2021.08.18

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Similarity in global matching(6) Semantic approach

Natural language similarity for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications. Similarity evaluation of ontologies by relational pattern matching, semantic approach, SAT solver, description logic.

2021.08.17

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Similarity in global matching (5) Probabilistic approach

Natural Language Similarity for Digital Transformation (DX), Artificial Intelligence (AI) and Machine Learning (ML) Applications. Evaluating ontology similarity by relational pattern matching, a probabilistic approach.

2021.08.16

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Similarity in global matching (4) Optimized matching method、EM and PSO

Natural language similarity for Digital Transformation (DX), Artificial Intelligence (AI) and Machine Learning (ML) applications. Similarity evaluation of ontologies by relational pattern matching, Expectation Maximization (EM) and Particle Swarm Optimisation (PSO).

2021.08.15

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Similarity in global matching (3) Matching graph patterns by iterative computation

Natural language similarity for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) applications. Graph data matching calculations for ontology similarity extraction.

2021.08.14

セマンテックウェブ技術:Semantic web Technology推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing

Protected: Explainable Machine Learning (8) Model-independent interpretation (ICE plot)

On ICE plot, one of the posterior interpretation models that can be explained and used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML).

2021.08.05

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning

Protected: Explainable Machine Learning (7) Model Independent Interpretation (PDP)

PDPs, one of the posterior interpretation models that can be used to explain digital transformation (DX), artificial intelligence (AI), and machine learning (ML)

2021.08.04

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning