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In cognitive psychology, typicality refers to the degree of goodness of objects as exemplars in concepts. In this paper, we apply the idea of typicality analysis from cognitive psychology to query answering, and propose a novel method to answer typicality queries effectively based on theories in cognitive psychology. The proposed method adopts multi-prototype concept modeling and basic level category...
Collaborative filtering (CF) is an important and popular technology for recommendation systems. However, current collaborative filtering methods suffer from some problems such as sparsity problem, inaccurate recommendation and producing big-error predictions. In this paper, we borrow ideas of object typicality from cognitive psychology and propose a novel typicality-based collaborative filtering recommendation...
Ontology is the basis component of the Semantic Web. Since constructing ontologies is a time consuming job for domain experts, many researches are conducted on automatic extraction of ontologies from texts. As the development of folksonomy, more and more researchers have realized that folksonomy is a better knowledge source for constructing ontologies than texts. Although some works have already been...
According to the studies of cognitive psychology, object typicality plays an important role in concept representation in human cognitive process. However, computational ontologies cannot reflect the typicality of objects in concepts. Besides, context is important in measuring object typicality. In this paper, we present a formal model of context-aware ontology with multi-prototype concept and object...
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