Intelligent browsing of topics is one of the key issues of the Web and the knowledge grid, which provides on-demand services to support knowledge discovery and innovation. In this paper, Background of topics composed ...
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ISBN:
(纸本)9781424418657
Intelligent browsing of topics is one of the key issues of the Web and the knowledge grid, which provides on-demand services to support knowledge discovery and innovation. In this paper, Background of topics composed by Associated Relations (BAR) between keywords belonging to one domain is developed to extend the topicspsila associated relations based on the element fuzzy cognitive maps (E-FCMs), which helps us discover the associated topics that do not have direct associated relation at the keyword level. The matrix of element concepts (MC) is presented to store element concepts of topics. Through MC we can obtain the causal concepts of each topic in one domain; logic operation ldquoANDrdquo is given to get associated topics. Semantic Link Network (SLN) is automatically generated by the associated topics, which can realize the intelligent browsing of topics in Web or knowledge grid. Experimental results show that the browsing path of topics is easier to be built by the proposed algorithm and the associated topic can be recommended automatically. Meanwhile, an application of the associated topics in multimedia provides a good prospect on the cross media intelligent browsing.
In the Web personalization of Web service and construction of adaptive Web site, how to represent uses profile is one of the key issues. Aiming at solving the existing problems in representation of user profile includ...
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ISBN:
(纸本)9780769533162
In the Web personalization of Web service and construction of adaptive Web site, how to represent uses profile is one of the key issues. Aiming at solving the existing problems in representation of user profile includes incapability of effectively representing userpsilas recent interest, lack in dynamically effectively updating. This paper presents a new method of representation of user profile. By computing the interest degree with association degree between topics, updating of interest degree is preformed. By introducing memory model, it can predict which Web pages are still concerned by the user. By classifying the operations on the presented user profile, the construction and evolution can be done. In case study a userpsilas browsing activities is traced and corresponding user profile is built and evolves, thus to prove the feasibility of this method.
P2P networks have become a popular way to share large volumes of data due to its open and anonymous nature. P2P network model is designed with the targets of decentralization, well-scaling, fault-tolerance and low cos...
详细信息
ISBN:
(纸本)9780769533162
P2P networks have become a popular way to share large volumes of data due to its open and anonymous nature. P2P network model is designed with the targets of decentralization, well-scaling, fault-tolerance and low cost. Meanwhile however, new targets bring new challenges. P2P network expose more security threats due to its open and anonymous nature. P2P networks are vulnerable to attacks by malicious peers that have an incentive to spread viruses, in authentic data, or provide poor quality services. In this paper, we analyze the potential trust problems for different kinds of P2P networks, and then present the general trust factors that are indispensable for building trust models in any kinds of networks.
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