ONTOLOGY ENGINEERING · SEMANTIC TECHNOLOGY · AI

Explore Core Ontology, Knowledge Graphs and Semantic Technologies

Learn how ontologies organize knowledge, describe relationships, connect data, and support intelligent applications. Explore ontology concepts, modeling methods, semantic web standards, knowledge representation, and artificial intelligence.

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Core Ontology Topics and Learning Resources

Navigate the main areas of ontology engineering, from foundational concepts and knowledge modeling to semantic integration, reasoning, and real-world applications.

Introduction to Core Ontology

Understand what an ontology is, how it represents concepts and relationships, and why structured knowledge matters.

Read the introduction

Basic Ontology Concepts

Explore classes, individuals, properties, entities, relationships, attributes, constraints, and semantic definitions.

Explore basic concepts

Ontology Applications

Discover how ontology models can support enterprise data, healthcare information, research, artificial intelligence, and other domains.

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Ontology Development Tools

Learn about software, frameworks, editors, query languages, and technologies used to create and maintain ontology models.

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Ontology Modeling Techniques

Examine approaches to designing classes, defining relationships, building taxonomies, and developing reusable domain models.

Learn modeling techniques

Ontology Integration

Understand ontology alignment, interoperability, data mapping, schema integration, and connecting information from different sources.

Explore integration

Explore the Linked Open Vocabularies (LOV) Explorer to search ontology classes, RDF properties, vocabulary namespaces, and reusable Semantic Web terms.

Technical foundations

Ontology Engineering and Semantic Knowledge

Explore the methods and standards that make structured knowledge understandable, reusable, interoperable, and suitable for computational reasoning.

Reasoning and Inference

Ontology reasoning uses formal rules and logical relationships to derive new information, check consistency, and identify relationships that may not be explicitly stated.

Explore reasoning and inference

Languages and Standards

Learn about semantic technologies and standards such as RDF, RDFS, OWL, SPARQL, and related approaches for representing and querying machine-readable knowledge.

Explore languages and standards

Ontology Management

Discover versioning, documentation, validation, governance, maintenance, and other practices that help keep ontology projects consistent as they grow.

Learn about ontology management

Ontology Best Practices

Review principles for clear naming, reusable concepts, modular design, documentation, validation, and maintainable ontology structures.

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Connected disciplines

Core Ontology in AI, Knowledge Graphs and the Semantic Web

Ontologies connect data and meaning across different systems. Explore how they relate to modern computing disciplines and information technologies.

About this resource

A Knowledge Resource for Ontology and Semantic Technologies

CoreOntology explores the principles and practical applications of ontology engineering. The subject covers how knowledge can be represented through concepts, entities, properties, relationships, and formal definitions.

These methods are relevant to knowledge graphs, enterprise information systems, semantic search, data integration, artificial intelligence, and applications that need to work with structured information.

Use the topic guides on this website to build a foundation in ontology concepts and explore more advanced areas of semantic knowledge representation.

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What You Can Explore

  • Ontology concepts and knowledge models
  • Ontology design and development methods
  • Semantic web languages and standards
  • Knowledge graphs and linked data
  • Reasoning, inference, and validation
  • AI and domain-specific ontology applications
  • Ontology tools and practical case studies
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Build Your Understanding of Ontology Engineering

Begin with the fundamentals, explore semantic technologies, and discover how ontologies and knowledge graphs help organize information for intelligent systems.

Read the Core Ontology Guide