Building ontological meaning in a lexico-conceptual knowledge base



Título del documento: Building ontological meaning in a lexico-conceptual knowledge base
Revista: Onomazein
Base de datos: CLASE
Número de sistema: 000342323
ISSN: 0717-1285
Autores: 1
2
Instituciones: 1Universidad Autónoma de Madrid, Facultad de Filosofía y Letras, Madrid. España
2Universidad de La Rioja, Facultad de Letras y de la Educación, Logroño, La Rioja. España
Año:
Periodo: Jun
Número: 23
Paginación: 11-40
País: Chile
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Descriptivo
Resumen en inglés 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
Disciplinas: Literatura y lingüística,
Ciencias de la computación
Palabras clave: Semántica y semiótica,
Traducción,
Inteligencia artificial (IA),
FunGramKB,
Léxico,
Conceptualización,
Conceptos terminales,
Definiciones
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