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By using the advantages of modern social tools, a new agricultural information service platform was designed and implemented, which was re developed by WeChat platform. It provided an efficient and convenient information service for farmers, and carried out a wide range of applications in the suburbs of Beijing.
With the development of Mobile and Wireless Network technology, Mobile learning (M-learning) becomes a focus after E-Learning. How can the farmers get requisite information of agricultural production by mobile phone? In order to solve this problem, the personalized mobile information system for the farmers has been designed and developed based on Ontology. It consists of four functional modules: information...
As a free online encyclopedia with a large-scale of knowledge coverage, rich semantic information and quick update speed, Wikipedia brings new ideas to measure semantic correlation. In this paper, we present a new method for measuring the semantic correlation between words by mining rich semantic information that exists in Wikipedia. Unlike the previous methods that calculate semantic relatedness...
BGP prefix hijacking is one of the main threatens for the Internet. It is important to identify the impact factors for prefix hijacking. This paper studies the problem from the view of AS logical topology by analysis of the data from the snapshots of CAIDA. We propose a hierarchical model based on AS relationship to classify the AS nodes into different level and define core size of each node to prioritize...
Campus portal website aims to integrate distributed system information on campus and provide a portal for personal information center. However, in the open campus network, information sharing and gaining are not confined in the campus. The paper discusses the extension and integration of campus portal website and the convenience of the user. Through the technology of ASP. NET, AJAX, LINQ to SQL and...
In recent years, greenhouse technology in agriculture is to automation, information technology direction with the IOT (internet of things) technology rapid development and wide application. In the paper, control networks and information networks integration of IOT technology has been studied based on the actual situation of agricultural production. Remote monitoring system with internet and wireless...
Internet users consume a large volume of rich media, and the consumption is increasing dramatically with the pervasiveness of network. BitTorrent has been well accepted as a solution to large-scale content distribution without requiring major infrastructure investment. However, it has not taken into account the link optimization across networks, causing heavy traffic across networks. This limitation...
3G is the abbreviation of 3rd Generation. Meaning the third generation mobile communicating technology. It is that the new generation of mobile communicating that being tied in wedlock multi-media between mobile communication system and internet technology. The test has discussed the research and application of distance learning based on 3G network, and has analyzed the main technology and the structure...
It is often required to integrate Internet-based data sources together in an ad-hoc way. Since such data sources are commonly heterogeneous and autonomous, they cannot come along uniformly. The paper proposes a novel data model and rational operations thereof to enable users to define local views of resources to be integrated and to eliminate syntactic and semantic heterogeneities. The local views...
With the rapid growth of the Internet, numerous data resources, which are distributed, autonomous and heterogeneous, are available for access. Consequently, the integration of heterogeneous data resources is a fundamental issue in the information integration. In this paper, a data convergency model based on XML is brought forward to present the integration process of the heterogeneous data resources...
It gains more and more attentions on how to enable users to dynamically construct and reconstruct Web applications of information convergence in run time to resolving urgent and unplanned business requirements. Visual programming environment, information resources virtualization and management, and visual representation of user-defined applications are important and challenging issues in dynamically...
The tradeoff between revenue and market share triggers the emergence of targeted advertising. However, all previous related work only focuses on the topical relevance of ads and does not concern the attitudes of consumers. In our paper, we propose a novel advertising strategy DASA (dissatisfaction-oriented advertising based on sentiment analysis) which takes the attitudes of consumers into consideration...
It is often required to integrate dispersed Internet-based information resources together on the fly, which do not come along uniformly. To place them into well-formed structures, a dataflow based approach is proposed. Firstly, a metadata model is introduced to represent complex data embodying variable information resources. Secondly, a visual paradigm, which is a hybrid of data flow and XML schema...
Online advertising has now turned to be one of the major revenue sources for today's Internet companies. Among the different channels of advertising, contextual advertising takes the great part. There are already lots of studies done for the keyword extraction problem in contextual advertising for English, however, little has been conducted for Chinese, which is mainly different from English linguistically...
This paper focuses on consumer fraud in auction website, and finds out why consumers may cheat sellers. At present, practitioners and scholars from home and abroad lay more emphasis on how to cope with website fraud, while less attention has been put on the consumer fraud. Based on the current situation of auction website, five key factors that have impact on consumer fraud have been put forward:...
To solve multi-class problems of support vector machines (SVM) more efficiently, a novel framework, which we call class-incremental learning (CIL), is proposed in this paper. CIL consists of two phases: incremental feature selection and incremental training, for updating the knowledge of old SVM classifiers in text classification when new classes are added to the system. CIL reuses the old models...
Data mining research currently faces two great challenges: how to embrace data mining services with just-in-time and autonomous properties and how to mine distributed and privacy-protected data. To address these problems, the authors adopt the business process execution language for Web services in a service-oriented distributed data mining (DDM) platform to choreograph DDM component services and...
Compared with relative recently-reported counterparts, a novel recommender system prototype is implemented. Its efforts focus on the three essential issues as a whole that recommender systems have to handle: data source, data modeling and recommendation strategy. It is based on a common data format and introduces a hybrid-rule model with a strategy of one-round table scanning. Laboratory experiment...
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