Building ontological meaning in a lexico-conceptual knowledge base

Autores/as

  • Rocío Jiménez-Briones Universidad Autónoma de Madrid (España)
  • Alba Luzondo Oyón Universidad de La Rioja (España)

DOI:

https://doi.org/10.7764/onomazein.23.01

Palabras clave:

FunGramKB, ontological meaning, conceptual modeling, meaning postulate, thematic frame, terminal concept

Resumen

Framed within the world of Artificial Intelligence, and more precisely within the project FunGramKB, i.e. a user-friendly environment for the semiautomatic construction of a multipurpose lexico-conceptual knowledge base for Natural Language Processing systems, the aim of this paper is two-fold. Firstly, we shall provide a necessarily non-exhaustive theoretical discussion of FunGramKB in which we will introduce the main elements that make up its Ontology (i.e. Thematic Frames, Meaning Postulates, different types of concepts, etc.). Secondly, we will describe the meticulous process carried out by knowledge engineers when populating this conceptually-driven Ontology. In doing so, we shall examine various examples belonging to the domain of ‘change’ or #TRANSFORMATION (in the COREL notation), in an attempt to show how conceptual knowledge can be modeled in for Artificial Intelligence purposes.

Biografía del autor/a

Rocío Jiménez-Briones, Universidad Autónoma de Madrid (España)

Departamento de Filología Inglesa, Facultad de Filosofía y Letras,
Universidad Autónoma de Madrid. España

Alba Luzondo Oyón, Universidad de La Rioja (España)

Departamento de Filologías Modernas,
Facultad de Letras y de la Educación, Universidad de La Rioja. España.

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Publicado

2011-06-30 — Actualizado el 2022-05-31

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Cómo citar

Jiménez-Briones, R., & Luzondo Oyón, A. (2022). Building ontological meaning in a lexico-conceptual knowledge base. Onomázein, (23), 11–40. https://doi.org/10.7764/onomazein.23.01 (Original work published 30 de junio de 2011)

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