Information Retrieval, Extraction, and Fusion from Heterogeneous, Distributed Data Sources - Ontology assisted agent systems for information retrieval, extraction, and assimilation from semantically heterogeneous, distributed data and knowledge sources.


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Information Retrieval, Extraction, and Fusion from Heterogeneous, Distributed Data Sources	Popularity: Hit: 132

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	Ontology assisted agent systems for information retrieval, extraction, and assimilation from semantically heterogeneous, distributed data and knowledge sources. Sponsored Links:
URL:	http://www.cs.iastate.edu/~honavar/ailab/projects/fusion.html
Title:	Information Retrieval, Extraction, and Fusion from Heterogeneous, Distributed Data Sources
Description:	Computers, Artificial Intelligence, Agents, Research - Information Retrieval, Extraction, and Fusion from Heterogeneous, Distributed Data Sources. Ontology assisted agent systems for information retrieval, extraction, and assimilation from semantically heterogeneous, distributed data and knowledge sources.
Specialized in:	Artificial Intelligence - Cognitive Science - Data Mining - Knowledge Discovery - Visualization - Exploratory Data Analysis - Machine Learning - Cellular - Bioinformatics - Computational Biology - Metabolic Pathways - Diagnosis

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