Which ontologies are supported?

While it can be adapted, it is highly optimized for biological and medical ontologies like MONDO, UBERON, and HP that use standardized pattern files.

How does this help with automated reasoning?

By providing precise logical definitions (equivalence axioms), the skill ensures that terms can be automatically classified into the correct hierarchy by reasoners.

Does this skill require dosdp-tools installation?

No, this skill is designed to help you understand and apply the patterns manually during curation rather than executing the command-line tools directly.

Can it handle gene-specific disease naming?

Yes, it includes specific instructions for gene-based disease patterns, ensuring correct HGNC identifiers and relationship source attribution.

Dead Simple Ontology Design Patterns (DOSDP) are YAML-based templates used to ensure consistent structure, naming, and logic across ontology terms.

DOSDP Ontology Design Patterns

Name: DOSDP Ontology Design Patterns
Author: ai4curation

byai4curation

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데이터 과학 및 ML

Ensures consistency in ontology term creation by applying Dead Simple Ontology Design Patterns (DOSDP) for standardized naming, definitions, and logical axioms.

소개

This skill provides a comprehensive framework for ontology developers and curators to identify and implement standardized design patterns. By utilizing Dead Simple Ontology Design Patterns (DOSDP), users can maintain structural integrity within complex ontologies like MONDO or UBERON. The skill guides the user through creating consistent term names, generating template-based definitions, and formulating OWL equivalence axioms, ensuring that knowledge graphs remain logically sound and interoperable without needing to execute external CLI tools directly.

주요 기능

Formulates complex logical equivalence axioms (OWL) for automated reasoning
Standardizes naming conventions and text definition templates
Provides specific templates for gene-based and location-based disease patterns
Ensures compliance with community-driven ontology design best practices
Facilitates consistent metadata and relationship attribution across terms
14 GitHub stars

사용 사례

Updating legacy ontology records to match modern structural design patterns
Creating new standardized disease or phenotype terms in a curated ontology
Verifying the logical consistency of intersection_of axioms for automated classification

소개

주요 기능

Formulates complex logical equivalence axioms (OWL) for automated reasoning
Standardizes naming conventions and text definition templates
Provides specific templates for gene-based and location-based disease patterns
Ensures compliance with community-driven ontology design best practices
Facilitates consistent metadata and relationship attribution across terms
14 GitHub stars

사용 사례

Updating legacy ontology records to match modern structural design patterns
Creating new standardized disease or phenotype terms in a curated ontology
Verifying the logical consistency of intersection_of axioms for automated classification