Titlebook: New Challenges in Computational Collective Intelligence; Ngoc Thanh Nguyen,Rados?aw Piotr Katarzyniak,Adam Book 2009 Springer-Verlag Berl

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Syntactic Modular Decomposition of Large Ontologies with Relational Databaseodules that can be processed by isolated separate instances of the inference engine. The relational algorithm, described in this paper, makes it possible to construct an inference engine that can run in a highly scalable cloud computing environment, or on a computer grid.

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New Challenges in Computational Collective Intelligence

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Knowledge and Data Processing in a Process of Website Quality Evaluationt and received as output during such tests into one consistent model..Some of artificial computational intelligence methods may help and be effective to increase productiveness of processing the knowledge in a right way basing on the previously received data, by making i.e. feedback to next website

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Efficient Construction of (d+1,3d)-Ruling Set in Wireless Ad Hoc Networksre able improve time complexity (from .(log|.(.)|) to .(.(.))) of several known algorithms for ., such as algorithm determining .-dominating set, maximum matching , minimum connected dominating set, minimum spanning tree and regular clustering.

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Book 2009theory, knowledge representation etc. is necessary to create new forms of computational collective intelligence and support existing ones. Three subfields of application of computational technologies to support forms of collective intelligence are of special attention to us. The first one is semanti

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