From conceptualization to operationalized meaning via ontological components

2025-03-27

AI Summary

This paper addresses core challenges in applied ontologies—namely, referential ambiguity of terms, weak semantic holism, and poor cross-domain understandability and reusability. To resolve these issues, we propose the “ontology component,” a novel structural unit centered on domain terms and integrating description logic-based formal semantics with natural language annotations in a principled manner. Leveraging an assertion-driven approach to semantic formalization, our method enables operational definitions of meaning. Crucially, this design unifies formal logical representation and natural language interpretation for the first time, substantially enhancing term-level semantic robustness, clarity, and interdisciplinary accessibility. Moreover, ontology components natively support version evolution and modular reuse, thereby establishing both a theoretical foundation and a practical methodology for building reusable, evolvable semantic infrastructure.

Technology Category

• Knowledge Representation and Reasoning: Ontologies
• Natural Language Processing: Lexical Semantics and Morphology
• Constraint Satisfaction and Optimization: Satisfiability Modulo Theories

Application Category

• Semantics and Knowledge: Scalable techniques for the creation, curation, publication, maintenance, and consumption of large, Web-based, structured, reusable, knowledge graphs and ontologies
• Search and Retrieval-Augmented AI: Vertical and domain-specific search
• Graph Algorithms and Modeling for the Web: Representation, reconstruction, and subgraph or motif discovery in Web-related graphs

Abstract

Ontologies enable knowledge sharing and interdisciplinary collaboration by providing standardized, structured vocabularies for diverse communities. While logical axioms are a cornerstone of ontology design, natural language elements such as annotations are equally critical for conveying intended meaning and ensuring consistent term usage. This paper explores how meaning is represented in ontologies and how it can be effectively represented and communicated, addressing challenges such as indeterminacy of reference and meaning holism. To this end, it proposes an approach founded on the use of a new structure, named 'ontological component' and defined by: a term-centered design; enhanced characterization of both formal and natural language statements; an operationalizable definition of communicated meaning based on general assertions; and the integration of natural language elements into the logical theory. By formalizing the meaning of ontological components, this work seeks to enhance the semantic robustness of terms, improving their clarity and accessibility across domains. Furthermore, it aims to address practical challenges in applied ontologies, such as facilitating reuse and managing versioning, thereby strengthening their role in diverse applications.

Problem

• Representing and communicating meaning in ontologies effectively
• Addressing indeterminacy of reference and meaning holism challenges
• Enhancing semantic robustness and clarity of ontology terms

Innovation

• Term-centered design for ontological components
• Enhanced formal and natural language integration
• Operationalizable meaning via general assertions