Inferring Knowledge from Textual Data by Natural Deduction



Título del documento: Inferring Knowledge from Textual Data by Natural Deduction
Revista: Computación y Sistemas
Base de datos: PERIÓDICA
Número de sistema: 000457498
ISSN: 1405-5546
Autores: 1
1
Instituciones: 1VSB-Technical University of Ostrava, Ostrava. República Checa
Año:
Periodo: Ene-Mar
Volumen: 24
Número: 1
Paginación: 29-48
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Aplicado, descriptivo
Resumen en inglés In this paper, we introduce the system for inferring implicit computable knowledge from textual data by natural deduction. Our background system is Transparent Intensional Logic (TIL) with its procedural semantics that assigns abstract procedures known as TIL constructions to terms of natural language as their context-invariant meanings. The input data for our method are produced by the so-called Normal Translation Algorithm (NTA). The algorithm processes natural-language texts and produces TIL constructions. In this way we have obtained a large corpus of TIL meaning procedures. These procedures are furthermore processed by our algorithms for type checking and context recognition, so that the rules of natural deduction for inferring computable knowledge can be afterwards applied
Disciplinas: Ciencias de la computación
Palabras clave: Inteligencia artificial,
Procesamiento de datos,
Programación,
Deducción natural,
Reglas de inferencia,
Lógica intensional transparente,
Textos,
Conversión
Keyword: Artificial intelligence,
Data processing,
Programming,
Natural deduction,
Inference rules,
Transparent intensional logic,
Texts,
Conversion
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