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With the rapid growth of online population, China has become the world's largest online market. This also gives rise to the Chinese underground market, which has facilitated many of the cybercrimes in China. Consequently, there is a need for research scrutinizing Chinese underground markets. One major challenge facing cybersecurity researchers is to understand the unfamiliar cybercriminal jargons...
Health related Question Answering (QA) systems have proven to be useful to patients. However, most of the QA systems focus on improving system performance against a standard set of questions, but neglect the problem of designing effective user interfaces. We build a health QA with enhanced user interface which includes three formats – single answer, list of fragments and combination of fragments....
Based on the study of linguistics, Information Science and Library and Information Science, we research on the real-time news posted on the authority sites in the world's major countries. By analyzing the massive news of different information sources and language origins, we come up with a basic theory model and its algorithm on news, which is capable of intelligent collection, quick access, deduplication,...
With the development of cloud computing and IoT, more and more data-intensive applications have come into being. It is very import to process the big data for these data-intensive applications. In this paper, we do some analysis about the basic concepts of big data and semantic++ computing. It includes the definition of big data, semantic computing and semantic++ computing. In this paper, we make...
Big data processing is one of the hot scientific issues in the current social development. MapReduce is an important foundation for big data processing. In this paper, we propose a semantic++ MapReduce. This study includes four parts. (1) Semantic++ extraction and management for big data. We will do research about the automatically extracting, labeling and management methods for big data's semantic++...
With the development of IoT technologies, more and more medial sensors have been used to monitor people's health. In this paper, we design a kind of semantic medical monitoring system model in the cloud based on the IoT sensors. Lots of IoT sensors will accept the massive sensor data every time. All these massive sensor data will be stored in the HDFS and some information will be stored into the HUADING-S,...
Nowadays, the data-intensive applications and IoT applications have gained a very big development in the cloud environment. All these applications need to process massive data. How to process these massive data effectively is becoming very important in the cloud environment. In this paper, we designed an efficient massive data processing model in the cloud. This model can be used to process all kinds...
The users of a digital library often have difficulty in formulating query expression that could represent his or her information requirements exactly. Query suggestion can provide some recommended query expression and help the user build a proper expression. Query suggestion for digital libraries requires higher precision ratio and novelty ratio than that of web search engines. Based on case studies,...
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