KSNet-Approach to Knowledge Fusion from Distributed Sources
Alexander Smirnov ; Mikhail Pashkin ; Nikolai Chilov ; Tatyana Levashova
Computing and Informatics, Tome 28 (2012) no. 1, / Harvested from Computing and Informatics
The rapidity of the decision making process is an important factor in different branches of the human life (business, healthcare, industry, military applications etc.). Since responsible persons make decisions using available knowledge, it is important for knowledge management systems to deliver necessary and timely information. Knowledge logistics is a new direction in the knowledge management addressing this. Technology of knowledge fusion, based on the synergistic use of knowledge from multiple distributed sources, is a basis for these activities. The paper presents an overview of a Knowledge Source Network configuration approach (KSNet-approach) to knowledge fusion, multi-agent architecture and research prototype of the KSNet knowledge fusion system based on this approach.
Publié le : 2012-01-26
Classification:  Knowledge management; intelligent systems; knowledge representation; multi-agent systems; knowledge fusion
@article{cai451,
     author = {Alexander Smirnov and Mikhail Pashkin and Nikolai Chilov and Tatyana Levashova},
     title = {KSNet-Approach to Knowledge Fusion from Distributed Sources},
     journal = {Computing and Informatics},
     volume = {28},
     number = {1},
     year = {2012},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai451}
}
Alexander Smirnov; Mikhail Pashkin; Nikolai Chilov; Tatyana Levashova. KSNet-Approach to Knowledge Fusion from Distributed Sources. Computing and Informatics, Tome 28 (2012) no. 1, . http://gdmltest.u-ga.fr/item/cai451/