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This paper introduces an automatic categorical-marking model for text categorization. Traditional classification algorithms are generally applying labeled training set and call for a lot of manual work to tag classifications beforehand. Also due to the ambiguity and fuzziness of texts, the results of traditional text categorization algorithms may not be clear enough and abundant in content. This paper...
Recent years have witnessed the continuing development of the Internet from its original communication purpose (e.g., email), content provision (e.g., Web) and software deployment platform (e.g. SaaS) to a software development platform for enterprise. This paper investigated crowd sourcing, in particular its application to the software development sector. By making use of this method developers can...
Nowadays, with the growing number of storage devices and increasing popularity of digital hand-held devices on the Internet of Things (iThings), performing a digital forensic analysis is becoming gradually more problematic especially on the future generation Internet. One of the common solutions is the creation of computer activity timelines. This paper describes the existing tools and practices of...
With the development of 3G and smart phones, user's demands of mobile internet increase. The function of mobile browser should be more powerful. But there is limitation of mobile browser on supporting different terminals. This paper proposes a mobile terminal adaptive browser, shows the basic process steps of mobile browser, and brings out the concrete realization of mobile terminal adaptive engine...
Botnets have become a serious threat to Internet and are often deployed to control a large pool of zombies and perform notorious activities such as DDoS, information theft and spam sending. In this paper, a new method is developed for detecting IRC botnets by analyzing the characteristic of packet size sequence of the TCP conversation between IRC zombies and their command and control (C&C) servers...
Many users often perform searches in unfamiliar domains and these search experiences are often unsatisfactory since the users are lack of domain-specific knowledge. In this paper, we present a concept based retrieval method to deal with domain-specific searches. Three groups of domain-specific concepts are extracted from the online resource. The following experiments on three domain-specific test...
The theory of service oriented architecture (SOA) provides an idea to achieve application integration and on-demand services provision. But at the same time, its loose coupling structure brings great challenges to achieve effective service management. This paper analyzes the characteristics of SOA service deployment structure, and then proposes a novel SOA-oriented federate SLA management architecture...
Based on the understanding of the ecology, with the theoretical knowledge of the ecology take an analysis on the population of network social, the main use of the method to measure diversity on the network social stocks of the community, through analysis of the cluster species of the network society so that we can make a clear understanding on society virtual community Stocks division and define,...
In knowledge management systems (KMS), the overabundance of information has forced users to spend more time searching for information that they need. If KMS can discover users' interests and initiatively recommend knowledge which users are interested in, it will greatly improve users' satisfaction. In this paper, based on social network theory, we propose a new method for establishing a knowledge...
Web video databases tend to contain tremendous near-duplicates with the explosive growth of online videos. How to detect and eliminate these near-duplicates has become an essential problem for Web video storage and indexing. In this paper, we propose a hierarchical approach to solve this problem efficiently and effectively. For an incoming video, firstly we compare global features to exclude videos...
Internet videos have grown exponentially with the help from video sharing Websites. Automatic topic mining is therefore increasingly important for organizing and navigating such large video databases. Most of current solutions of topic detection and mining were done on news videos and cannot be directly applied on Web videos, because of their limited and noisy semantic information. In this paper,...
With the rapid development of telecommunication techniques and digital devices, it is quite easy to copy, modify and republish videos in digital format, resulting in large volume of duplicate videos on the Web in recent years. In this paper we mainly investigate the problem of detecting excessive content duplication, so as to facilitate video search and intelligence propriety protection. A real-time...
The rapid development of service economy and the continual accumulation of Web knowledge resources provide great opportunities and challenges to global knowledge share and cooperation. Developing virtual community oriented knowledge service systems, providing initiative knowledge services by service providers will be a promising research and practice domain. As the knowledge behavior of community...
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