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Specialized Knowledge Representation and the Parameterization of Context.

Pamela Faber1, Pilar León-Araúz1

  • 1Department of Translation and Interpreting, University of Granada Granada, Spain.

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Summary

Context definition is crucial for knowledge representation in specialized fields. This study proposes a new taxonomy for context, categorizing it by scope and facets to improve terminological knowledge bases.

Keywords:
context parametersspecialized knowledgeterminological knowledge basesterminology

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Area of Science:

  • Information Science
  • Linguistics
  • Knowledge Representation

Background:

  • Context lacks a universal definition, hindering its use in specialized knowledge resources.
  • Effective knowledge representation, understanding, and acquisition are primary goals of terminological knowledge bases.
  • Existing resources rarely support context modeling, despite its utility.

Purpose of the Study:

  • To propose a parameterization of context for specialized knowledge resources.
  • To develop a taxonomy for context to facilitate knowledge representation and acquisition.
  • To address the complexity of context in specialized discourse.

Main Methods:

  • Developing a taxonomy of context based on scope (local and global).
  • Further dividing context into syntactic, semantic, and pragmatic facets.
  • Analyzing contextual information types within specialized text.

Main Results:

  • A proposed taxonomy categorizes context by scope and facets.
  • The taxonomy covers various terminological information types, including predicate-argument structure and semantic relations.
  • Facets include syntactic, semantic, and pragmatic aspects of context.

Conclusions:

  • The proposed context taxonomy enhances knowledge representation in terminological resources.
  • This framework aids in understanding and acquiring specialized knowledge by modeling context.
  • The taxonomy provides a structured approach to the multifaceted nature of specialized context.