A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
A fast algorithm of semantic associative search for databases and knowledge bases
Information modelling and knowledge bases VII
A fundamental framework for realizing semantic interoperability in a multidatabase environment
Integrated Computer-Aided Engineering - Special issue: multidatabase and interoperable systems
An adaptive learning mechanism for semantic associative search in databases and knowledge bases
Information modelling and knowledge bases VIII
Information Modelling and Knowledge Bases XV
Information Modelling and Knowledge Bases XV
Information Modelling and Knowledge Bases XVI (Frontiers in Artificial Intelligence and Applications)
An application of Semantic Information Retrieval System for International Relations
Proceedings of the 2007 conference on Information Modelling and Knowledge Bases XVIII
Proceedings of the 2007 conference on Information Modelling and Knowledge Bases XVIII
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In this paper, we present a learning system with a Semantic Spectrum Analyzer to realize appropriate and sharp semantic vector spaces for semantic associative search. In semantic associative search systems, a learning system is essentially required to obtain semantically related and appropriate information from multimedia databases. We propose a new learning algorithm with a Semantic Spectrum Analyzer for the semantic associative search. A Semantic Spectrum Analyzer is essential for adapting retrieval results according to individual variation and for improving accuracy of the retrieval results. This learning algorithm is applied to adjust retrieval results to keywords and retrieval-candidate data. The Semantic Spectrum Analyzer makes it possible to extract semantically related and appropriate information for adjusting the initial positions of semantic vectors to the positions adapting to the individual query requirements.