A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Ontology Specification Languages for the Semantic Web
IEEE Intelligent Systems
Creative Mind: Myths and Mechanisms
Creative Mind: Myths and Mechanisms
Embodied cognition: a field guide
Artificial Intelligence
CorMet: a computational, corpus-based conventional metaphor extraction system
Computational Linguistics
Hownet And the Computation of Meaning
Hownet And the Computation of Meaning
The Description Logic Handbook
The Description Logic Handbook
Computational mechanisms for metaphor in languages: a survey
Journal of Computer Science and Technology
Creativity and Artificial Intelligence: A Conceptual Blending Approach
Creativity and Artificial Intelligence: A Conceptual Blending Approach
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A novel pattern matching method for Chinese metaphor identification and classification
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Logic and AI in China: An Introduction
Minds and Machines
Hi-index | 0.00 |
Language understanding is one of the most important characteristics for human beings. As a pervasive phenomenon in natural language, metaphor is not only an essential thinking approach, but also an ingredient in human conceptual system. Many of our ways of thinking and experiences are virtually represented metaphorically. With the development of the cognitive research on metaphor, it is urgent to formulate a computational model for metaphor understanding based on the cognitive mechanism, especially with the view to promoting natural language understanding. Many works have been done in pragmatics and cognitive linguistics, especially the discussions on metaphor understanding process in pragmatics and metaphor mapping representation in cognitive linguistics. In this paper, a theoretical framework for metaphor understanding based on the embodied mechanism of concept inquiry is proposed. Based on this framework, ontology is introduced as the knowledge representation method in metaphor understanding, and metaphor mapping is formulated as ontology mapping. In line with the conceptual blending theory, a revised conceptual blending framework is presented by adding a lexical ontology and context as the fifth mental space, and a metaphor mapping algorithm is proposed.