WordNet: a lexical database for English
Communications of the ACM
A vector space model for automatic indexing
Communications of the ACM
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
The earth mover's distance as a semantic measure for document similarity
Proceedings of the 14th ACM international conference on Information and knowledge management
An association method using concept-base
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
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This paper proposes a method that quantifies the similarity between documents based on the level of relevance among terms in order to deliver a search that captures the meaning of documents. More specifically, this paper proposes a method that uses a concept-base to look for relevance among different terms and calculates the degree of association between documents using the Earth Mover's Distance. When the proposed methods were subjected to comparison tests with other methods using the NTCIR3-WEB, they achieved good results.