The structure-mapping engine: algorithm and examples
Artificial Intelligence
WordNet: a lexical database for English
Communications of the ACM
Knowledge Representation and Metaphor
Knowledge Representation and Metaphor
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
The competence of sub-optimal theories of structure mapping on hard analogies
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Analogy generation with HowNet
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Sentiment analysis of Chinese documents: From sentence to document level
Journal of the American Society for Information Science and Technology
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One generally accepted hallmark of creative thinking is an ability to look beyond conventional labels and recategorize a concept based on its behaviour and functional potential. So while taxonomies are useful in any domain of reasoning, they typically represent the conventional label set that creative thinking attempts to look beyond. So if a linguistic taxonomy like WordNet [1] is to be useful in driving linguistic creativity, it must support some basis for recategorization, to allow an agent to reorganize its category structures in a way that unlocks the functional potential of objects, or that recognizes similarity between literally dissimilar ideas. In this paper we consider how recategorization can be used to generate analogies using the HowNet [2] ontology, a lexical resource like WordNet that in addition to being bilingual (Chinese/English) also provides explicit semantic definitions for each of the terms that it defines.