CoreOntology is a technology platform focused on ontology engineering, semantic web technologies, knowledge graph development and the integration of structured knowledge with artificial intelligence. Our goal is to make complex knowledge structures easier to create, understand, validate and use in modern software systems.
Tool Concepts
Technology Categories
Tool Files Available
Planned Tool Files
Understanding the relationship between data, meaning, knowledge representation and artificial intelligence.
Ontologies provide structured representations of concepts, entities, properties and relationships within a particular knowledge domain. CoreOntology focuses on making ontology development, organization and validation more accessible through practical software concepts and educational resources.
Knowledge graphs connect information through meaningful relationships. They can help applications represent interconnected information and make structured data more useful for discovery, analysis and reasoning. We explore tools and technologies that support knowledge graph development.
AI systems can benefit from structured information that provides context, definitions and relationships. We explore the connection between ontologies, knowledge graphs, large language models, retrieval-augmented generation and intelligent agents.
Different databases and applications often represent similar information in different ways. Semantic technologies provide methods for describing, connecting and organizing information across systems. CoreOntology explores these technologies and their practical applications.
Our platform concept brings together tools, technical explanations and resources for working with structured knowledge.
Provide practical approaches to creating, transforming, querying and validating semantic data structures.
Explain ontology engineering, RDF, OWL, SPARQL, knowledge graphs and semantic web technologies through accessible content.
Explore how structured knowledge can complement artificial intelligence, language models and data-driven applications.
Explore the tools planned for the CoreOntology platform. Each tool is assigned its own PHP page. Pages become accessible automatically when their corresponding files are added to the website.
Build, validate and manage structured ontologies.
Generate structured ontology models from natural language descriptions, concepts and domain requirements.
Under DevelopmentCreate and organize RDF Schema classes, properties, relationships and semantic structures.
Under DevelopmentValidate OWL ontology documents and identify structural problems, inconsistencies and modeling issues.
Under DevelopmentCompare ontology versions and identify changes in classes, properties, relationships and definitions.
Under DevelopmentExplore logical inference, ontology reasoning and relationships between semantic concepts.
Under DevelopmentExplore automated detection and correction of common ontology structure and schema problems.
Under DevelopmentTransform connected information into structured knowledge.
Build knowledge graphs from structured datasets, text and interconnected information.
Under DevelopmentExplore conversion of RDF and OWL ontology structures into Neo4j property graph models.
Under DevelopmentExplore nodes, relationships and connected entities through interactive knowledge graph visualizations.
Under DevelopmentExplore graph representation learning and embedding techniques for machine learning applications.
Under DevelopmentMap relational database structures and datasets to semantic models and ontology-based representations.
Under DevelopmentConnect artificial intelligence with structured knowledge.
Explore methods for connecting large language models with structured ontologies and knowledge graphs.
Under DevelopmentAnalyze entities, semantic relationships and structured information within websites and digital content.
Under DevelopmentExplore domain-specific ontology models for finance, healthcare, education, ecommerce and other industries.
Under DevelopmentIdentify entities, concepts and relationships in text for semantic analysis and knowledge graph development.
Under DevelopmentExplore AI assistant architectures powered by structured knowledge, ontology models and retrieval systems.
Under DevelopmentWork with semantic queries, linked data and ontology discovery.
Build and explore SPARQL queries for retrieving information from RDF datasets and knowledge graphs.
Under DevelopmentExplore ontology discovery, semantic vocabulary search and structured knowledge resources.
Under DevelopmentCoreOntology focuses on technologies and standards used to represent, query, validate and connect structured knowledge.
Our mission is to make ontology engineering, semantic data and knowledge graph technologies easier to understand and use. We aim to bring together practical tools, educational resources and AI-related knowledge engineering concepts in one platform.
By exploring the relationship between structured knowledge and artificial intelligence, CoreOntology aims to support developers, researchers, students and organizations working with increasingly complex information systems.
Answers to common questions about ontology engineering, semantic technologies and our platform.
Have a question about ontology engineering, knowledge graphs, semantic technologies or the platform?
admin@coreontology.com