Introduction to Core Ontology
Understand what an ontology is, how it represents concepts and relationships, and why structured knowledge matters.
Read the introductionLearn 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.
Navigate the main areas of ontology engineering, from foundational concepts and knowledge modeling to semantic integration, reasoning, and real-world applications.
Understand what an ontology is, how it represents concepts and relationships, and why structured knowledge matters.
Read the introductionExplore classes, individuals, properties, entities, relationships, attributes, constraints, and semantic definitions.
Explore basic conceptsDiscover how ontology models can support enterprise data, healthcare information, research, artificial intelligence, and other domains.
View applicationsLearn about software, frameworks, editors, query languages, and technologies used to create and maintain ontology models.
Explore development toolsExamine approaches to designing classes, defining relationships, building taxonomies, and developing reusable domain models.
Learn modeling techniquesUnderstand ontology alignment, interoperability, data mapping, schema integration, and connecting information from different sources.
Explore integrationExplore the Linked Open Vocabularies (LOV) Explorer to search ontology classes, RDF properties, vocabulary namespaces, and reusable Semantic Web terms.
Explore the methods and standards that make structured knowledge understandable, reusable, interoperable, and suitable for computational reasoning.
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 inferenceLearn about semantic technologies and standards such as RDF, RDFS, OWL, SPARQL, and related approaches for representing and querying machine-readable knowledge.
Explore languages and standardsDiscover versioning, documentation, validation, governance, maintenance, and other practices that help keep ontology projects consistent as they grow.
Learn about ontology managementReview principles for clear naming, reusable concepts, modular design, documentation, validation, and maintainable ontology structures.
Explore best practicesOntologies connect data and meaning across different systems. Explore how they relate to modern computing disciplines and information 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.
More About CoreOntologyBegin with the fundamentals, explore semantic technologies, and discover how ontologies and knowledge graphs help organize information for intelligent systems.
Read the Core Ontology Guide