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Research On The Distributed Intelligence Retrieval Based On Peer-to-Peer Networks And The Prototype System

Posted on:2011-01-28Degree:MasterType:Thesis
Country:ChinaCandidate:X W LiuFull Text:PDF
GTID:2166330338989840Subject:Military Intelligence
Abstract/Summary:PDF Full Text Request
Intelligence plays a more and more important role in Information War, while the ability of intelligence processing has become a key factor which directly affect the victory of a war. Intelligence retrieval is a very important part of intelligence processing. Through the development trend of Information War, intending intelligence retrieval will be mainly applied in the distributed systems, especially Peer-to-Peer networks. Thus, this paper mainly researched intelligence retrieval based on Peer-to-Peer networks and includes the following five aspects:1. Analyzed the functions of intelligence in Information War and the relationship between intelligence and C2. Furthermore, takeing the factor of military intelligence retrieval into account, we summarized the characteristics of military intelligence retrieval.2. Aimed at the problem of abundance intelligence in Information War, this papers proposed a new method for automatic index to accelerate intelligence processing. This method can measure the factor such as word frequency and structure better.3. Proposed a better method for search by query disassembly. On the point of user view, the weightof query word is different from each other, so this method can reflect user's requirements better.4. Proposed distributed military intelligence retrieval based in Peer-to-Peer networks, which can effectively address the problems of unbalance load and redundant index items with inverted index, while applying wildcard search.5. Designed the prototype system of the distributed military intelligence retrieval and researched on it. Furthermore, Analyzed the performance of the method for distributed military intelligence retrieval which was proposed in this paper.
Keywords/Search Tags:Military Intelligence, Peer-to-Peer, Information Retrieval, Distributed Research, Wildcard search, Automatic index
PDF Full Text Request
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