Building ontological meaning in a lexico-conceptual knowledge base



Document title: Building ontological meaning in a lexico-conceptual knowledge base
Journal: Onomazein
Database: CLASE
System number: 000342323
ISSN: 0717-1285
Authors: 1
2
Institutions: 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
Year:
Season: Jun
Number: 23
Pages: 11-40
Country: Chile
Language: Inglés
Document type: Artículo
Approach: Descriptivo
English abstract 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
Disciplines: Literatura y lingüística,
Ciencias de la computación
Keyword: Semántica y semiótica,
Traducción,
Inteligencia artificial (IA),
FunGramKB,
Léxico,
Conceptualización,
Conceptos terminales,
Definiciones
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