Construction and Applications of a Traditional Chinese Medicine Knowledge Graph

This report details the concept, systematic construction process, and diverse applications of a large‑scale Traditional Chinese Medicine (TCM) knowledge graph, illustrating how semantic standards, ontology engineering, and graph databases enable intelligent retrieval, recommendation, and clinical decision support across multiple TCM sub‑domains.

AIKnowledge GraphTCM

0 likes · 15 min read

Construction and Applications of a Traditional Chinese Medicine Knowledge Graph

DataFunTalk

Jul 9, 2022 · Artificial Intelligence

Education Knowledge Graph: Opportunities and Challenges

The article provides a comprehensive overview of education knowledge graphs, explaining their definition, significance, diverse application scenarios such as smart textbooks, deep reading, subject insight, and intelligent services, while also analyzing technical challenges like data heterogeneity, granularity, multimodality, quality control, and proposing future research directions.

Intelligent TutoringKnowledge Graphartificial intelligence

0 likes · 25 min read

Education Knowledge Graph: Opportunities and Challenges

DataFunTalk

Jan 6, 2022 · Artificial Intelligence

Deep Application‑Driven Construction of Medical Knowledge Graphs

This article presents a comprehensive overview of medical knowledge graph development, covering global and domestic progress, domain characteristics, a detailed seven‑piece ontology and "Huizhi" graph construction process, platform support, and real‑world healthcare applications such as intelligent alerts, guideline recommendations, and data reporting.

Data IntegrationHealthcareMedical Knowledge Graph

0 likes · 11 min read

Deep Application‑Driven Construction of Medical Knowledge Graphs

ByteDance SE Lab

Oct 29, 2021 · Artificial Intelligence

What Is a Knowledge Graph? From Basics to Embedding Techniques

This article introduces knowledge graphs, defining them as semantic networks or multi‑relational graphs, explains entities and relations, compares RDF and graph‑database storage, outlines construction steps including entity extraction and ontology building, reviews embedding models like TransE/H/R/D, and explores applications in search, finance, recommendation, and language models.

AIKnowledge Graphgraph embedding

0 likes · 22 min read

What Is a Knowledge Graph? From Basics to Embedding Techniques

Tencent Cloud Developer

Sep 1, 2019 · Artificial Intelligence

Fundamentals and Practical Implementation of Knowledge Graphs and Attribute Extraction

The article surveys the evolution and core components of knowledge graphs—from early Linked Data concepts to modern semantic networks—detailing the end‑to‑end pipeline of data acquisition, cleaning, extraction, and fusion, and showcases Tencent Cloud’s Merak framework and encyclopedia KG, highlighting model choices, performance benchmarks, and real‑world applications such as recommendation and intelligent Q&A.

AIBERTKnowledge Graph

0 likes · 13 min read

Fundamentals and Practical Implementation of Knowledge Graphs and Attribute Extraction