Restructuring sparse high dimensional data for effective retrieval
Proceedings of the 1998 conference on Advances in neural information processing systems II
Latent semantic space: iterative scaling improves precision of inter-document similarity measurement
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
A vector space model for automatic indexing
Communications of the ACM
Random projection in dimensionality reduction: applications to image and text data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Modern Information Retrieval
Term Weighting Approaches in Automatic Text Retrieval
Term Weighting Approaches in Automatic Text Retrieval
An Implementation of a Semantic Associative Search Space for Medical Document Databases
SAINT-W '04 Proceedings of the 2004 Symposium on Applications and the Internet-Workshops (SAINT 2004 Workshops)
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This paper presents a multiple knowledge spaces creation process for domain oriented semantic associative search. We have presented a generation method of semantic associative search spaces for domain-specific research areas. This process enables database managers and experts of the specific domain to collaborate in constructing semantic search spaces with domain-oriented knowledge. Domain-specific knowledge space creation is essentially important to obtain appropriate knowledge from expert-level document repositories. This paper presents the implementation process for knowledge space creation and the software environment for supporting collaboration work between database managers and domain experts.