[Paper Review] Le terme et le concept : fondements d'une ontoterminologie

Christophe Roche|ArXiv.org|Jan 8, 2008

linguistics and terminology studies3 citations

TL;DR

This paper introduces ontoterminology as a framework to bridge lexical terms and conceptual knowledge in ontology building, arguing that linguistic structure in technical texts does not inherently reflect domain conceptualization. By integrating epistemological principles and acknowledging the influence of formal language on concept definition, the approach enables more accurate, theory-driven ontology construction from scientific and technical texts, with key insight that term and concept alignment depends on linguistic and conceptual formalism.

ABSTRACT

Most definitions of ontology, viewed as a "specification of a conceptualization", agree on the fact that if an ontology can take different forms, it necessarily includes a vocabulary of terms and some specification of their meaning in relation to the domain's conceptualization. And as domain knowledge is mainly conveyed through scientific and technical texts, we can hope to extract some useful information from them for building ontology. But is it as simple as this? In this article we shall see that the lexical structure, i.e. the network of words linked by linguistic relationships, does not necessarily match the domain conceptualization. We have to bear in mind that writing documents is the concern of textual linguistics, of which one of the principles is the incompleteness of text, whereas building ontology - viewed as task-independent knowledge - is concerned with conceptualization based on formal and not natural languages. Nevertheless, the famous Sapir and Whorf hypothesis, concerning the interdependence of thought and language, is also applicable to formal languages. This means that the way an ontology is built and a concept is defined depends directly on the formal language which is used; and the results will not be the same. The introduction of the notion of ontoterminology allows to take into account epistemological principles for formal ontology building.

Motivation & Objective

• To address the gap between lexical terms in scientific texts and the underlying domain conceptualization in formal ontologies.
• To challenge the assumption that linguistic relationships in texts directly reflect conceptual structures in ontologies.
• To establish ontoterminology as a methodological framework integrating epistemological principles into formal ontology development.
• To examine how formal language influences concept definition and ontology structure, based on the Sapir-Whorf hypothesis.
• To provide a foundation for building consistent, theory-driven ontologies from technical and scientific documentation.

Proposed method

• Proposes ontoterminology as a formal framework linking terms and concepts through epistemological principles.
• Analyzes the mismatch between textual linguistics (emphasizing incompleteness and context) and formal ontology (requiring completeness and consistency).
• Applies the Sapir-Whorf hypothesis to formal languages, showing that language structure shapes conceptualization in ontologies.
• Uses textual corpora from scientific and technical domains as input for ontology extraction, with linguistic relationships as initial candidates.
• Introduces a transformation process from natural language terms to formal concept definitions, mediated by domain conceptualization.
• Emphasizes the need for domain-specific formalization rather than direct extraction from text.

Experimental results

Research questions

• RQ1 To what extent do linguistic relationships in technical texts reflect the conceptual structure of a domain?
• RQ2 How does the choice of formal language affect the definition and structure of concepts in an ontology?
• RQ3 Can epistemological principles be systematically applied to improve the consistency of ontology construction?
• RQ4 What is the role of terminology in aligning natural language terms with formal conceptualizations?
• RQ5 How can the incompleteness of natural language texts be reconciled with the completeness required in formal ontologies?

Key findings

• The lexical structure of technical texts does not reliably represent the domain's conceptual structure, due to textual incompleteness and linguistic variability.
• Formal language significantly influences how concepts are defined and structured in ontologies, supporting the Sapir-Whorf hypothesis in formal contexts.
• Direct extraction of ontologies from text without conceptual mediation leads to inconsistent or inaccurate results.
• Ontoterminology provides a principled approach to align terms and concepts by integrating epistemological and formalization constraints.
• The framework enables more reliable ontology construction by distinguishing between linguistic expression and conceptual formalization.
• The study demonstrates that ontology building must be theory-driven, not merely text-driven, to ensure conceptual coherence.