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Artificial Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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ACM Transactions on Database Systems (TODS)
Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought
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Semiotic Dynamics for Embodied Agents
IEEE Intelligent Systems
Similarity of Semantic Relations
Computational Linguistics
The uncovering of hidden structures by Latent Semantic Analysis
Information Sciences: an International Journal
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Web Semantics: Science, Services and Agents on the World Wide Web
Programming collective intelligence
Programming collective intelligence
Reviving the Living, Volume 6: Meaning Making in Living Systems
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Abducing chances in hybrid humans as decision makers
Information Sciences: an International Journal
A fluid knowledge representation for understanding and generating creative metaphors
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
ScaNaLU '06 Proceedings of the Third Workshop on Scalable Natural Language Understanding
Learning concept hierarchies from text corpora using formal concept analysis
Journal of Artificial Intelligence Research
The latent relation mapping engine: algorithm and experiments
Journal of Artificial Intelligence Research
Information Sciences: an International Journal
An introduction to algebraic semiotics, with application to user interface design
Computation for metaphors, analogy, and agents
Literal and metaphorical sense identification through concrete and abstract context
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Proactive screening for depression through metaphorical and automatic text analysis
Artificial Intelligence in Medicine
Evaluating the premises and results of four metaphor identification systems
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
The emergence of choice: Decision-making and strategic thinking through analogies
Information Sciences: an International Journal
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Excavating the meaning of a target term is a challenge facing information sciences and various applications of Web 3.0. In this paper, we present a novel method for excavating the meaning of a target term by analyzing metaphors in which the term is embedded. More specifically, we (1) review some of the basic theoretical difficulties associated with the dominant cognitive theories of metaphor; (2) outline a mathematical model of metaphor that addresses some of these difficulties; (3) introduce a novel method for excavating metaphor-based meaning; and (4) illustrate the relevance of the methodology and the potential applications of the model with a concrete example.