By R. J. Howlett, G. Tonfoni, N. S. Ichalkaranje, L. C. Jain
The Internet/WWW has made it attainable to simply entry amounts of knowledge by no means on hand ahead of. besides the fact that, either the quantity of knowledge and the difference in caliber pose stumbling blocks to the effective use of the medium. synthetic intelligence strategies could be helpful instruments during this context. clever structures might be utilized to looking the net and data-mining, examining Internet-derived fabric, the human–Web interface, distant situation tracking and plenty of different parts.
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Additional resources for Internet-based intelligent information processing systems
The content and services supplied by nodes are also dynamic and random. - Nodes may or may not be restricted to which other nodes they physically connect to, but they usually maintain a set of virtual neighbors that they usually communicate with. Each node only has a limited view of the network, and its content, and usually requires the assistance of other nodes in reaching and finding resources in the network. The dynamic nature of these networks makes it hard to track and find content or resources.
But this tool has problems. The current keyword based search machines available on the Internet are not really appropriate for such a task; either there are (way) too many documents matching the specified keywords are presented or none at all. The problem lies in the fact that it is often very difficult to choose appropriate terms describing the desired topic in the first place. This contribution discusses the current state-of-the-art techniques in content-based searching (along with common visualization/browsing approaches) and proposes a particular adaptive solution for intuitive Internet document navigation, which not only enables the user to provide full texts instead of manually selected keywords (if available), but also allows him/her to explore the whole database.
Public opinion channel: a network-based interactive broadcasting system for supporting a knowledge-creating community T. Fukuhara, N. Fujihara, S. Azechi, H. Kubota, and T. 1 Does a POC facilitate knowledge creation in a community? 1 How does the prototype POC system work in an actual community? 2 How to evaluate the effect of a POC on knowledge creation? 1 What kind of communities need a dry community? 3 Extension of the informational humidity model 8 Conclusion References Appendix xxxv 258 258 259 260 262 263 267 Chapter 8.