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A knowledge graph is a knowledge base that uses a graph-structured data model to represent and operate on data. It stores interlinked descriptions of entities such as objects, events, situations, or abstract concepts, and encodes the relationships between these entities1. Knowledge graphs are widely used in search engines, question-answering services, and social networks1.
Key Components
Entities and Relationships: Entities are the nodes in the graph, representing real-world objects or concepts. Relationships are the edges connecting these nodes, representing the interactions or associations between entities1.
Ontology: An ontology defines the schema of the knowledge graph, specifying the types of entities and relationships, and the rules for how they can be connected. It allows for logical inference, enabling the derivation of new knowledge from existing data1.
Graph Databases: Knowledge graphs are often implemented using graph databases such as Neo4j, GraphDB, and AgensGraph. These databases allow for efficient storage and querying of graph-structured data1.
- See all on Wikipedia
Knowledge graph - Wikipedia
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. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also … See more
The term was coined as early as 1972 by the Austrian linguist Edgar W. Schneider, in a discussion of how to build modular instructional systems for courses. In the late 1980s, the See more
A knowledge graph formally represents semantics by describing entities and their relationships. Knowledge graphs may make use of ontologies as a schema layer. By doing this, they allow logical inference for retrieving implicit knowledge rather than only … See more
• Will Douglas Heaven (4 September 2020). "This know-it-all AI learns by reading the entire web nonstop". MIT Technology Review. Retrieved 5 September 2020. Diffbot is building the biggest-ever knowledge graph by applying image recognition … See more
There is no single commonly accepted definition of a knowledge graph. Most definitions view the topic through a Semantic Web lens and include these features:
• Flexible relations among knowledge in topical domains: A … See more• Concept map – Diagram showing relationships among concepts
• Formal semantics (natural language) – Study of meaning in natural languages
• Graph database – Database using graph structures for queries See moreWikipedia text under CC-BY-SA license [2410.17600] Graphusion: A RAG Framework for Knowledge …
Oct 23, 2024 · However, most existing approaches focus on a local perspective, extracting knowledge triplets from individual sentences or documents, missing a fusion process to …
- Cite as: arXiv:2410.17600 [cs.CL]
What is a knowledge graph? - IBM
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 …
KM Institute
This tutorial will guide you through the building blocks of a knowledge graph tailored for knowledge management, helping you identify knowledge gaps, connect experts, and create a …
GKG-LLM: A Unified Framework for Generalized Knowledge …
Mar 14, 2025 · In this study, we propose a unified framework for constructing generalized knowledge graphs to address this challenge. First, we collect data from 15 sub-tasks in 29 …
- Cite as: arXiv:2503.11227 [cs.AI]
- Subjects: Artificial Intelligence (cs.AI)
How to Build Knowledge Graphs Using Modern Tools …
Feb 5, 2025 · Knowledge graphs are foundational to modern data strategies. They accumulate and convey knowledge in a way that enhances decision-making and problem-solving. Gartner’s 2024 Hype Cycle highlights their importance, …
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How to build a knowledge graph in 9 simple steps - Lettria
Build a knowledge graph to organize and leverage data. Discover key steps and how Lettria's NLP tools simplify creation, management, and visualization.
KRAFT -- A Knowledge-Graph-Based Resource Allocation …
2 days ago · Knowledge graphs, which represent real-world entities and their relationships, offer a promising solution by capturing complex dependencies and enabling dynamic, context-aware …
Open-Source Knowledge Graph Frameworks - Restackio
Mar 10, 2025 · Explore various open-source frameworks for building knowledge graphs, enhancing data integration and semantic understanding. Open-source knowledge graph …
Knowledge Graph Construction: Extraction, Learning, …
2 days ago · Figure 1 provides a high-level overview of the proposed research framework for knowledge graph construction, visually representing the three core phases—Extraction, Learning, and Evaluation—along with their key sub …
What is a Knowledge Graph? A comprehensive Guide
A knowledge graph is a structured representation of real-world entities and their relationships, visualized as a network of nodes (entities) connected by edges (relationships). This framework acts as a database, enabling complex queries …
Knowledge Graph
Knowledge graph engineering is the process of designing, building, and maintaining a knowledge graph. It involves several steps, including data modeling, data integration, and ontology …
Knowledge Graph: Your Guide to Intelligent Data Integration
Jan 15, 2025 · Learn what a knowledge graph is, how it powers AI, and why enterprises are using it for smarter data integration and actionable insights.
2807-2022 - IEEE Standard for Framework of Knowledge Graphs
Abstract: A framework of knowledge graphs is proposed in this standard. The knowledge graph conceptual model, construction and integration process of knowledge graphs, main activities in …
How to Build a Knowledge Graph for AI - DataStax
Feb 25, 2025 · Convert knowledge to a graph format Extract entities from the question Retrieve the subgraph for the question to supply in your LLM query Convert knowledge to a graph …
Construction of a knowledge graph for framework material …
Feb 27, 2025 · In this study, by utilizing the natural language processing capabilities of large language models (LLMs), we have established a comprehensive knowledge graph (KG-FM).
What Is a Knowledge Graph? | Ontotext Fundamentals
Knowledge graphs put data in context via linking and semantic metadata and this way provide a framework for data integration, unification, analytics and sharing.
How to Design and Build a Knowledge Graph from Scratch
Here's a step-by-step guide to designing and building a knowledge graph from scratch: Before jumping into technical aspects, it's important to have a clear understanding of what you want …
An Introduction to Knowledge Graphs - SAIL Blog
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 …
An Intro to Building Knowledge Graphs - Open Data Science
Mar 11, 2024 · There are two types of graph models – Label Property Graph (LPG) and Resource Description Framework (RDF). The AI-Powered Analyst: Skills You Need to Stay Relevant. …
How to Build a Knowledge Graph - factnexus
Nov 6, 2022 · In this post I’m going to show you how to build a knowledge graph that can provide quick, succinct answers for your team members and your customers. Before doing anything …
What is Knowledge Graphs in data governance - secoda.co
3 days ago · Scalability: Knowledge graphs can easily scale as organizations grow, accommodating new data sources and evolving governance requirements. What further …
A comprehensive large-scale biomedical knowledge graph for AI …
Mar 17, 2025 · This study presents iKraph, a large-scale biomedical knowledge graph built using an award-winning natural language processing pipeline with expert-level accuracy. Using …
What is a knowledge graph? - data.world
Mar 14, 2023 · A knowledge graph represents a collection of real-world concepts (displayed as nodes) and relationships (displayed as edges) in the form of a graph used to link and integrate …
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