Springer, 2006, 651 стр.
Книга описывает метод семантического представления естественного
языка, который может использоваться как парадигма представления
знаний в науках о человеке таких как лингвистика, когнитивная
психология, а также компьютерной лингвистике и искусственном
интеллекте.
Part I. Knowledge Representation with MultiNet
Introduction
Historical Roots
Basic Concepts
Semantic Characterization of Objects
Semantic Characterization of Situations
The Comparison of Entities
The Spatio-temporal Characterization of Entities
Modality and Negation
Quantification and Pluralities
The Role of Layer Information in Semantic Representations
Relations Between Situations
Lexicon and Knowledge Representation
Question Answering and Inferences
Software Tools for the Knowledge Engineer / Sample Applications
Part II. Comparison Between MultiNet and Other Semantic Formalisms
Overview and Representational Principles
Means for Expressing Classification and Stratification
Relations and Functions
Introduction
Historical Roots
Basic Concepts
Semantic Characterization of Objects
Semantic Characterization of Situations
The Comparison of Entities
The Spatio-temporal Characterization of Entities
Modality and Negation
Quantification and Pluralities
The Role of Layer Information in Semantic Representations
Relations Between Situations
Lexicon and Knowledge Representation
Question Answering and Inferences
Software Tools for the Knowledge Engineer / Sample Applications
Part II. Comparison Between MultiNet and Other Semantic Formalisms
Overview and Representational Principles
Means for Expressing Classification and Stratification
Relations and Functions