In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data.

May 10, 2021 · Knowledge graphs have started to play a central role in representing the information extracted using natural language processing and computer vision. Domain knowledge expressed in KGs is being input into machine learning models to produce better predictions.

Feb 2, 2020 · Knowledge graph embedding is organized from four aspects of representation space, scoring function, encoding models, and auxiliary information. For knowledge acquisition, especially knowledge graph completion, embedding methods, path inference, and logical rule reasoning, are reviewed.

What is a knowledge graph? A knowledge graph, also known as a semantic network, represents a network of real-world entities—such as objects, events, situations or concepts—and illustrates the relationship between them. This information is usually stored in a graph database and visualized as a graph structure, prompting the term knowledge “graph.”

The heart of the knowledge graph is a knowledge model: a collection of interlinked descriptions of concepts, entities, relationships and events. Knowledge graphs put data in context via linking and semantic metadata and this way provide a framework …

May 12, 2024 · At its essence, a Knowledge Graph is a structured knowledge base that interlinks entities, concepts, and relationships to provide contextually rich information. Unlike traditional databases that store data in rigid tables, Knowledge Graphs embrace a graph-based model, fostering flexibility, scalability, and semantic richness.

6 days ago · Knowledge graph embedding (KGE) is a hot topic in the field of Knowledge graphs (KG). It aims to transform KG entities and relations into vector representations, facilitating their manipulation in various application tasks and real-world scenarios.

Dec 27, 2024 · In this article, we will delve into the intricacies of a knowledge graph, exploring its definition, components, types, advantages, and use cases. Definition: A Fundamental Understanding. A knowledge graph is a graph-based database that integrates and interlinks various forms of data.

Feb 27, 2025 · A knowledge graph is a structured data representation that reveals patterns and connections in the real world. It consists of three components: Nodes: Real-world concepts – including entities, people, places, and things. Edges: Connections between the nodes – including activities and characteristics between nodes.

5 days ago · A Knowledge Graph could be defined as a structured representation of information that connects concepts, entities, and their relationships in a way that mimics human understanding. It is often used to organise and integrate data from various sources, enabling machines to reason, infer, and retrieve relevant information more effectively.