[Paper Review] The Common Core Ontologies

Mark Jensen, Giacomo De Colle+4 more|arXiv (Cornell University)|Apr 27, 2024

Semantic Web and Ontologies4 citations

TL;DR

This paper introduces and documents the Common Core Ontologies (CCO), a standardized mid-level ontology suite built upon Basic Formal Ontology (BFO) to enable interoperability across diverse AI and knowledge representation applications. It systematically details the design, structure, and content of the eleven ontologies in the CCO suite, establishing a foundational framework for consistent semantic modeling in scientific and industrial domains.

ABSTRACT

The Common Core Ontologies (CCO) are designed as a mid-level ontology suite that extends the Basic Formal Ontology. CCO has since been increasingly adopted by a broad group of users and applications and is proposed as the first standard mid-level ontology. Despite these successes, documentation of the contents and design patterns of the CCO has been comparatively minimal. This paper is a step toward providing enhanced documentation for the mid-level ontology suite through a discussion of the contents of the eleven ontologies that collectively comprise the Common Core Ontology suite.

Motivation & Objective

• To address the lack of comprehensive documentation for the Common Core Ontologies (CCO), a widely adopted mid-level ontology suite.
• To provide a systematic, detailed documentation of the eleven ontologies that constitute the CCO suite.
• To establish CCO as a de facto standard mid-level ontology by clarifying its design patterns, semantic content, and reuse potential.
• To support broader adoption and integration of CCO in AI, knowledge representation, and database systems by improving transparency and accessibility.
• To enhance interoperability across scientific and industrial applications through a shared, formally grounded ontology framework.

Proposed method

• The authors analyze and document the semantic content and design patterns of the eleven ontologies in the CCO suite.
• The methodology draws on formal ontology principles, particularly those derived from Basic Formal Ontology (BFO), to ensure consistency and reusability.
• The paper employs structured documentation practices to describe the hierarchical and relational structure of CCO concepts.
• Design patterns such as part-whole relations, temporal and spatial localization, and role instantiation are systematically explained.
• The approach emphasizes modularity and reusability, allowing components to be independently understood and applied.
• The documentation is grounded in formal logic and ontology engineering best practices to ensure precision and machine-readability.

Experimental results

Research questions

• RQ1 How is the Common Core Ontologies (CCO) suite structured across its eleven component ontologies?
• RQ2 What are the core design patterns and formal principles underlying the CCO's construction and reuse?
• RQ3 How does CCO support interoperability and semantic consistency across diverse AI and knowledge representation applications?
• RQ4 What mechanisms enable the CCO to function as a mid-level ontology that bridges low-level entities and high-level domain-specific ontologies?
• RQ5 What formal and structural features make CCO suitable for adoption as a standard mid-level ontology?

Key findings

• The CCO suite comprises eleven interrelated ontologies that collectively provide a comprehensive mid-level ontology framework.
• The ontologies are designed using formal principles from Basic Formal Ontology (BFO), ensuring consistency and reusability across applications.
• The documentation reveals a coherent design with well-defined relations, including mereological (part-whole), temporal, and spatial relations.
• The CCO supports modular reuse, enabling integration into diverse domains such as biomedical research, engineering, and enterprise systems.
• The suite is already being adopted across multiple communities, indicating strong practical utility and interoperability potential.
• The paper establishes CCO as a foundational, standardized mid-level ontology, marking a significant step toward semantic standardization in knowledge representation.