Ontology Knowledge Graph

A knowledge graph emphasizes information organization through relationships, often using a graph structure. At the same time, ontology focuses on defining the vocabulary and meaning within a specific domain, usually through formal logic-based specifications.

Ontologies are generalized semantic data models, while a knowledge graph is what we get when we leverage that model and apply it to instance data.

Ontology is an important concept to understand when implementing knowledge graphs and other graph models. Learn about ontologies and how they work here.

What is the difference between a knowledge graph and an ontology? And which of them is dependent on the other? I understand that both are represented with nodes and edges, indicating entities and the relationships between these entities. knowledge graphs are more specific and are used for a certain application, while ontology is more general. an ontology is referred to when building a

An ontology is a formal specification of the relationships that are used in a knowledge graph. For example, in Figure 3, the concepts such as City, Country, etc. and relationships such as part of, same as, etc, and their formal definitions constitute an ontology.

Learn how ontology shapes the backbone of knowledge graphs, facilitating data integration, semantic interoperability, and human-machine interactions for enhanced insights and decision-making.

Explore ontologies as foundational schemas for knowledge graphs. Learn how they define entities, relationships, and hierarchies to enable semantic reasoning and data integration.

In the age of large language models LLMs and advanced artificial intelligence, knowledge graphs and ontologies have experienced a significant resurgence. This article explores why an ontology-driven semantic layer can help to build and govern a future-proof knowledge architecture.

In simpler terms, ontology provides the vocabulary and the rules that the knowledge graph follows. For example, if your domain is an e-commerce platform, your ontology might define entities like Customer, Product, Category, and Company, and relationships like quotpurchasesquot, quotbelongs toquot, and quotmanufactured byquot.

The term knowledge graph KG is used as an adjective, describing the type of ontology, with the implication that not all ontologies can be realized as knowledge graphs.