A model of knowledge based information retrieval with hierarchical concept
Journal of Documentation
Exploiting hierarchical domain structure to compute similarity
ACM Transactions on Information Systems (TOIS)
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
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We develop a new vector space model of a hierarchical structure depending on a user’s viewpoint by performing dynamic mapping operator creation. In order to determine appropriate relationships among information resources, it is important to develop a correlation computation method that depends on the hierarchical structure. Our method determines the correlation in vector space corresponding to the hierarchical structure by dynamic mapping operator creation; this mapping operator represents the hierarchical structure depending on the user's viewpoint by simple matrix computing. Furthermore, our method determines the correlations according to user's viewpoints by dynamic mapping operator creation on the basis of the hierarchical structure. It helps to obtain various information resources related to a query depending on the hierarchical structure and user's viewpoints.